Speeding Up the Pace of New Product Development

This study empirically investigates a wide array of factors that have been argued to differentiate fast from slow innovation processes from the perspective of the research and development organization. We test the effects of strategic orientation (criteria- and scope-related variables) and organizational capability (staffing- and structuring-related variables) on the speed of 75 new product development projects from ten large firms in several industries. Backward-elimination regression analysis revealed that (a) clear time-goals, longer tenure among team members, and parallel development increased speed, whereas (b) design for manufacturability, frequent product testing, and computer-aided design systems decreased speed. However, when projects were sorted by magnitude of change, different factors were found to influence the speed of radical and incremental projects. Moreover, some factors that sped up radical innovation (e.g., concept clarity, champion presence, co-location) were found to slow down incremental innovation. Together, the radical and incremental models explain differences in speed better than the general model. This suggests a contingency approach to speeding up innovation. Implications for researchers and managers are discussed.     

A strategic environmental assessment method for agricultural policy in the UK

There are a number of significant environmental impacts that arise from agricultural practices that may be influenced by policy. A Strategic Environmental Assessment Method (SEAM) is described which aims to assess the environmental impacts of agricultural policy and aid the development of more sustainable policy formulation. The method addresses the issues of selecting appropriate performance criteria and measurements, and makes use of effect-damage functions and targets to determine the significance of potential impacts in relation to sustainability. A set of profiles is produced, describing the environmental performance of a specific policy. A confidence assessment system (CAS) is also described which provides details about the quality of the assessment and areas of uncertainty. SEAM provides information about impacts in simple format that can be easily used in decision making. It can identify environmental trade-offs and provides a holistic view that is essential when making decisions that affect the environment.     

When are Consumers Motivated to Connect with Ethical Brands? The Roles of Guilt and Moral Identity Importance

This research adds to the growing literature on what draws consumers to ethical brands. Findings from three studies demonstrate that guilt motivates consumers to connect with ethical brands, especially those consumers with high levels of moral identity importance (MII). Specifically, Study 1 finds that consumers report stronger self‐brand connections (SBCs) with an ethical brand when they feel guilty (vs. control). Study 2 finds that guilt particularly motivates consumers with high MII to report stronger SBCs with an ethical (vs. unethical) brand. In turn, these strong connections lead to increased intentions to purchase the ethical brand. Finally, Study 3 finds evidence for the proposed motivation‐based process explanation by showing that high MII consumers’ propensity to connect with ethical brands when feeling guilty (vs. control) is attenuated when these consumers are first given the opportunity to donate to a charitable cause to alleviate their guilt. Overall, the findings suggest that ethical brands can foster strong connections with and elicit higher purchase intentions from consumers seeking ways to alleviate their guilt.     

Effects of store loyalty on shopping mall loyalty

The key purpose of this paper is to bridge a research gap in shopping mall literature by investigating the relationship between store loyalty and shopping mall loyalty. The paper also examines the effects of perceived store value and store relationship commitment on store loyalty en-route to loyalty towards the shopping mall hosting the stores. The study shows that store loyalty influences shopping mall loyalty under certain conditions and that such an influence is moderated by the geographic distance between the consumer and the shopping mall. Further, the study found that distance has a moderating effect on the relationship between perceived store value and store loyalty, but not on the association between relationship commitment and store loyalty. The insights provided by this study offer academics, retailers and shopping mall managers a richer understanding of the relationships between store loyalty and its antecedents, customers' distance from the mall, and shopping mall loyalty.     

Russian enterprises in mid-2010: Slow improvements in the context of a high degree of economic uncertainty

The results of a recent regular survey of opinions among enterprises of the real economy sector, which was conducted by the Laboratory for the Analysis and Forecasting of Microeconomic Processes of the Institute of Economic Forecasting of the RAS (IEF), are analyzed in this paper.     

TARIFFS AND IMPORTS MISINVOICING UNDER OLIGOPOLY

Mismatch of trade statistics between developed and developing countries indicate a substantial misinvoicing of trade figures, primarily by developing country traders. This is due to the inflexible exchange rate regimes, severe import restrictions and export subsidies prevailing in Less Developed Countries (LDCs). In this paper, we focus on import underinvoicing due to high tariff barriers in a market where domestic producers compete with importers. Specifically, we examine how tariff levels, market structure and government intervention (in the form of intensity of monitoring and severity of penalties) affect the levels of underinvoicing. We also look at the optimal levels of import tariff and instruments of government intervention in these circumstances.     

Economic uncertainty and corruption: evidence from a large cross-country data set

A vast amount of research has considered numerous causes and correlates of corruption. Also, there have been many studies of the consequences of various forms of uncertainty. However, exploration of the nexus between economic uncertainty and corruption appears scarce. After providing an intuitive and heuristic linkage between general economic uncertainty and corruption, this article uses a large cross-country data set to augment a fairly standard model with simple proxies for uncertainty and to investigate how economic uncertainty might affect the prevalence of corruption. In addition, a quantile-regression framework is used to judge how the strength of various covariates may differ with the level of corruption. Seven main points emerge from the estimates. First, economic uncertainty is associated positively with corruption, and the relation seems to be robust across measures of uncertainty and corruption. Second, quantile-regression estimates indicate considerable parametric heterogeneity across the distribution of corruption. Third, Gross Domestic Product (GDP) per capita has the expected corruption-mitigating role. Fourth, increased political rights and civil liberties also appear to lower corruption. Fifth, greater government consumption is associated with lower corruption. Sixth, while the hyperinflation dummy lacks significance in most OLS regressions, its significance varies across the distribution of corruption. Seventh, neither police force nor government subsidies shows significance, but transition economies have more corruption.     

Determinants of retirement planning behaviour and differences by age

This paper presents the results of an investigation into the determinants of retirement planning behaviour and differences among three age groups: 21‐ to 39‐year‐olds, 40‐ to 59‐year‐olds and those aged 60 years and older. A national survey of 911 individuals from households with incomes of $75 000 or greater was conducted in the US. The significance of socio‐demographic variables, the ability to recover from loss, behavioural tendencies and perceived or actual personal control were investigated; together with their role in the prediction of maximization of retirement contributions and ownership in the personal individual retirement account (IRA) or Keogh accounts. The results identified several significant variables in the prediction of ownership in a personal IRA or Keogh, including age, sources of financial information, being an early investor and investor activity. The results also identified several significant variables in the prediction of the maximization of retirement contributions, including employment, income, savings activity, ex ante research, review of investment performance, early investor, investor activity, such as planning for financial future, setting up automatic deposits and reviewing financial information in the mail.     

Initial Public Offerings on the Unlisted Securities Market: The Impact of Professional Advisers

This paper tests two hypotheses developed in the context of information asymmetry between companies making initial public offerings (IPO) on the Unlisted Securities Market and potential investors. It is argued that the status of the sponsor and audit firm are interpreted by potential investors as signals of an IPO's quality. The results indicate that for IPOs made during 1986–87 the level of discount and the status of the associated auditing firm are significantly related. Higher quality auditing firms are associated with lower levels of discount. A similar relationship for IPOs made during the period 1988–89 is not detected. The paper suggests that there were significant changes in the IPO market between these two periods. No relationship in either period is detected between the level of discount and the status of the sponsor.