Divergent and Convergent Idea Generation in Teams: A Comparison of Computer-Mediated and Face-to-Face Communication

Many tasks and decisions in business, including management consulting, are performed in group settings. Computer-mediated communication (CMC) tools (e.g., Lotus Notes) are increasingly being used by businesses to support teams in a variety of settings. Considerable research in information systems has demonstrated the advantages of electronic brainstorming (EBS) for generic tasks involving only divergent thinking. However, it is unclear whether the benefits of CMC extend to tasks that require both divergent and convergent processes. Per task–technology fit theory (TTF) (Zigurs and Buckland 1998), the use of computer-based group communication support tools, including chat systems in wide-spread use today, may be less effective for convergent processes than for divergent processes. This study experimentally compares the performance of computer-mediated and face-to-face (FTF) teams on tasks requiring both divergent and convergent processes. Consistent with theoretical predictions, the results revealed that computer-mediated teams outperformed FTF teams in the divergent aspects of the tasks, while FTF teams outperformed computer-mediated teams in the convergent aspects of the tasks.     

Global economy gathering strength

Encouraged by a highly expansionary economic policy, the global economy is enjoying a rapid upturn. Utilisation of capacity is high in many sectors, particularly in the growth centres of the USA and East Asia, where China leads the field. With inflationary risks on the increase, most countries are now shifting the focus of economic policy. Fiscal policy in particular can be expected to provide little in the way of further stimulus. In addition, there has been a turnaround in interest rates in many countries. Yet how quickly can the monetary reins be tightened without jeopardising growth or endangering price stability?     

Cultivating Moral Imagination through Meditation

The purpose of this article is to show how moral imagination can be cultivated through meditation. Moral imagination was conceived as a three-stage process of ethical development. The first stage is reproductive imagination, that involves attaining awareness of the contextual factors that affect perception of a moral problem. The second stage, productive imagination, consists of reframing the problem from different perspectives. The third stage, creative imagination, entails developing morally acceptable alternatives to solve the ethical problem. This article contends that moral imagination can be cultivated through three kinds of meditation: non-discursive, semidiscursive, and discursive meditation. Part one shows how the seed of reproductive moral imagination is planted during sessions of nondiscursive meditation. Productive moral imagination, as will be shown in part two, is nurtured through semidiscursive meditation. Part three will demonstrate the flowering of creative moral imagination through discursive meditation. Reflection and small group discussion on each form of meditation will help to show business people how to cultivate moral imagination.     

Choose, Choose, Choose, Choose, Choose, Choose, Choose: Emerging and Prospective Research on the Deleterious Effects of Living in Consumer Hyperchoice

The ideology of consumption and the imperative of consumer choice have washed across the globe. In today's developed economies there is an ever-increasing amount of buying, amidst an ever-increasing amount of purchase options, amidst an ever-increasing amount of stress, amidst an ever-decreasing amount of discretionary time. This brief essay reviews research suggesting, for example, that hyperchoice confuses people and increases regret, that hyperchoice is initially attractive but ultimately unsatisfying, and that hyperchoice is psychologically draining. Future research is then discussed, including how and why hyperchoice may have other toxic effects on people, including the degrading of moral emotions and behavior.     

A Model of Value Creation: Strategic View

Value creation has long been hailed as the major objective of business firms by many management researchers. Some authors state that a firm must create value for its shareholders; some insist that value must be created not just for shareholders but also for all stakeholders. However, most discussions of value creation do not address an important question: "For whom the value is created?" The purpose of this paper is to take a first step to fill this void and propose a model of value creation along three dimensions: financial, nonfinancial, and time. It is hoped that the model will contribute to a better understanding of how strategic and operational decisions of managers may create value for some stakeholders while destroying it for others.     

The Influence of Task Load and Automation Trust on Deception Detection

The purpose of this research was to investigate the effects that user task load level has on the relationship between an individual's trust in and subsequent use of a system's automation. Military decision-makers trust and use information system automation to make many tactical judgments and decisions. In situations of information uncertainty (information warfare environments), decision-makers must remain aware of information reliability issues and temperate their use of system automation if necessary. An individual's task load may have an effect on his use of a system's automation in environments of information uncertainty.It was hypothesized that user task load will have a moderating effect on the positive relationship between system automation trust and use of system automation. Specifically, in situations of information uncertainty (low trust), high task load will have a negative effect on the relationship. To test this hypothesis, an experiment in a simulated command and control micro-world was conducted in which system automation trust and individual task load were manipulated. The findings from the experiment support the positive relationship between automation trust and automation use found in previous research and suggest that task load does have a negative effect on the positive relationship between automation trust and automation use. Experiment participant who incurred a higher task load exhibited an over-reliance on their automated information systems to assist them in their decision-making activities. Such an over-reliance can lead to vulnerabilities of deception and suggests the need for automated deception detection capabilities.     

Market Orientation, Innovativeness, Product Innovation, and Performance in Small Firms

Most research on market orientation, innovation and performance is related to big enterprises and small and medium-sized enterprises (SMEs). In this study a model is developed to investigate the combined effect of market orientation and innovativeness on product innovation and company performance, for small firms. A specific feature of our research is that we use an objective measure for product innovation in contrast to the self-reported measures commonly used in research on innovation. To test our model data from 152 rose growers were used. This study's results show that the owner's innovativeness permeates all variables in the model and has a positive influence on market orientation, innovation, and performance. An interesting research result is also that customer market intelligence influences product innovation positively or negatively, depending on whether the innovativeness of the owner in the new product domain is weak or strong.     

THE SQUARED ORNSTEIN-UHLENBECK MARKET

We study a complete market containing J assets, each asset contributing to the production of a single commodity at a rate that is a solution to the squared Ornstein-Uhlenbeck (Cox-Ingersoll-Ross) SDE. The assets are owned by K agents with CRRA utility functions, who follow feasible consumption/investment regimes so as to maximize their expected time-additive utility from consumption. We compute the equilibrium for this economy and determine the state-price density process from market clearing. Reducing to a single (representative) agent, and exploiting the relation between the squared-OU and squared-Bessel SDEs, we obtain closed-form expressions for the values of bonds, assets, and options on the total asset value. Typical model parameters are estimated by fitting bond price data, and we use these parameters to price the assets and options numerically. Implications for the total asset price itself as a diffusion are discussed. We also estimate implied volatility surfaces for options and bond yields.