Method Support of Information Requirements Analysis for Analytical Information Systems

Due to specific characteristics of analytical information systems, their development varies significantly from transaction-oriented systems. Specific method support is particularly needed for requirements engineering and its information-related component, information requirements analysis. The paper at hand first evaluates the state of the art and identifies necessary method support extensions. On this basis, method support requirements for information requirements engineering are identified. The survey is structured along the five core activities of traditional requirements engineering. It reveals a need for further research especially on information requirements elicitation, validation, and management. It further contributes to a discussion of aspects that should be considered by any method support. Due to comparatively long life cycles of analytical information systems, the introduction of a process perspective is discussed in order to ensure the continuous elicitation, documentation, and management of information requirements.     

Choice Based on Goals

This article introduces a goal-based view of consumer choice in which (1) choice is influenced by three classes of goals (consumption goals, criterion goals, and process goals), (2) goals are cognitively represented, and (3) the impact of a goal on choice depends on its activation. For each class of goals, we discuss how goal activation is influenced by direct (subconscious) goal priming, by spreading activation from choice options, from other goals, and from the context, and by goal (non-)achievement. Opportunities for modeling goal-based choice, the integration of emotions in a theory of goal-based choice, and relationships with dual-process theories of decision making are discussed. An expanded version of this paper is available from the first author.     

Towards understanding who makes corporate venture capital investments and why

This study examines when established firms participate in corporate venture capital (CVC). We build on the resource-based view of interfirm collaboration and emphasize the strategic flexibility of CVC relationships. We use longitudinal data on 477 firms from 1990 to 2000 to test our hypotheses. We find that firms in industries with rapid technological change, high competitive intensity and weak appropriability engage in greater CVC activity. We also show that firms that possess strong technological and marketing resources and resources developed from diverse venturing experience engage in greater CVC activity. Finally, we find that these firm resources moderate the influence of the observed industry effects in paradoxical ways.     

Asset versus consumption poverty and poverty dynamics in rural Ethiopia

Several studies have shown conceptually that assets form a more robust basis for identifying the poor than do flow variables like expenditures or income. Asset‐based poverty classification can be used to distinguish structural from stochastic poverty and can enable projection of poverty dynamics through time. Nonetheless, little work has empirically compared poverty measurement based on assets and expenditures to indicate the practical implications of the choice of poverty measure. This article uses panel data (between 1994 and 2004) from Ethiopia to generate asset‐ and expenditures‐based poverty classifications. Asset dynamics are then explored to test for the existence of multiple asset index equilibria that could constitute evidence of poverty traps. Results provide evidence of multiple equilibria and show that the asset‐based poverty classifications predict future asset and expenditures poverty status more accurately than expenditures‐based measures. The findings confirm that the asset‐based measure could be used to more carefully target poverty interventions.     

HomeGrocer.com: Anatomy of a failure

This case study examines the initiation, financing, development, and failed merger of an ambitious online grocery retail venture: HomeGrocer.com. It highlights the risks and challenges associated with developing a revolutionary venture. Even though the HomeGrocer.com team did many things right developmentally, some key errors and unfortunate timing resulted in them expanding too quickly and running low on cash. It also forced them to make a tough strategic decision about whether to scale back operations and renege on their IPO commitments or merge with a well-funded competitor, Webvan. The case discusses lessons that can be learned from business failure.     

Advances in random utility models report of the workshop on advances in random utility models duke invitational symposium on choice modeling behavior

In recent years, major advances have taken place in three areas of random utility modeling: (1) semiparametric estimation, (2) computational methods for multinomial probit models, and (3) computational methods for Bayesian estimation. This paper summarizes these developments and discusses their implications for practice.     

Special and Differential Treatment of Developing Countries in the WTO: Moving Forward After Cancún

The issue of special and differential treatment (SDT) for developing countries in the WTO has become a source of tension in North‐South trade relations. The absence of an effective SDT regime clearly contributed to the failure of the Cancún Ministerial meeting of the WTO. This paper argues for a new approach that puts the emphasis on efforts to improve the development relevance of WTO rules and create mechanisms which allow greater differentiation across WTO members in determining the applicability of WTO disciplines; complemented by non‐discriminatory liberalisation of trade in goods and services in which developing countries have an export interest. The former is key in allowing the WTO to expand its reach to new ‘behind the border’ policies; and the latter is important to establishing a development dimension in multilateral trade negotiations.     

Hypothesis testing for diffusion processes with continuous observations: Direct computation of large deviation results for error probabilities

We propose statistical tests for deciding between two alternatives for diffusion processes observed continuously over a finite time interval. Our tests emphasize the large deviation aspects, or equivalently, the asymptotic behavior of probabilities of type I and type II errors and the rate at which these probabilities go to zero as the observation time increases. We obtain these rates using direct methods of calculation. We provide specific computational examples for diffusion processes commonly used in finance and show that the error probabilities for these cases go to zero exponentially fast. Applications in finance and economics are discussed.     

Untangling Dynamic and Operational Capabilities: Strategy for the (N)ever‐Changing World

We explain why the line between dynamic and operational (or ordinary) capabilities is unavoidably blurry, draw implications for capabilities that promote economically important but seemingly gradual change, and provide recommendations for future research that takes these issues into account. Copyright © 2011 John Wiley & Sons, Ltd.     

Optimal incentives for sequential production processes

I study optimal incentive schemes in organizations where agents perform their tasks sequentially. I consider a model in which agents' effort decisions are mapped into the probability of the project's success. An optimal investment‐inducing mechanism allocates rewards to agents so as to induce all of them to exert effort in equilibrium at minimal cost to the principal. I characterize the unique optimal mechanism in several versions of my benchmark model. I also address the problem of allocating individuals with diverse qualifications to different slots of the production process as well as allocating tasks of different importance across different agents.