Performance expectations of small firms considering radical product innovation

Performance expectations influence business decisions such as investment decisions and demand for supplies, particularly in small firms with limited strategic planning. Despite widespread use of performance expectations by firms and governments when making sales forecasts and economic outlooks, surprisingly little research exists about how small firms form performance expectations. This paper contributes to reduce this knowledge gap by analyzing performance expectations of small firm managers operating in markets with radical product innovations. This paper proposes a model and hypotheses, which explain performance expectations of small firm managers based on firms' current success, radical product innovation, and variables that indicate firms' ability to respond to customer needs for radical product innovation. Data from 200 decision-makers in a real decision-making context support the model. The results show that performance expectations in small firms are only to a limited extent a naïve extrapolation of current success: radical product innovation and small firm's ability to respond to customer needs for radical product innovation influence performance expectations.     

Individual investor perceptions and behavior during the financial crisis

Combining monthly survey data with matching trading records, we examine how individual investor perceptions change and drive trading and risk-taking behavior during the 2008–2009 financial crisis. We find that investor perceptions fluctuate significantly during the crisis, with risk tolerance and risk perceptions being less volatile than return expectations. During the worst months of the crisis, investors’ return expectations and risk tolerance decrease, while their risk perceptions increase. Towards the end of the crisis, investor perceptions recover. We document substantial swings in trading and risk-taking behavior that are driven by changes in investor perceptions. Overall, individual investors continue to trade actively and do not de-risk their investment portfolios during the crisis.     

A socio‐economic assessment of cowpea diversity on the Ghanaian market: implications for breeding

Given the importance of cowpea [Vignaunguiculata(L)Walp] in fighting malnutrition and poverty, a socio‐economic assessment of cowpea diversity found on the Ghanaian market was conducted. The objective was to investigate emerging consumer preference for cowpea and make recommendations for the development of tailor‐made varieties. Forty‐seven cowpea accessions were collected from traders interviewed for morphological characterization to ascertain the degree of diversity. Data was subjected to Hierarchical Cluster Analysis using Genstat Discovery Edition 3 software and variations among the cowpea varieties based on the selected seed traits established. Cowpea varieties found on the markets were broadly categorized into foreign and local varieties and usually named after their sources. Foreign Cowpea varieties were very popular on the markets surveyed as reflected in the per cent distribution of respondents by cowpea varieties sold; Niger (52%), Burkina Faso (50%), Togo (46%), Lagos (36%) and Ghana (18–21%). At the trader level, the order of preference for cowpea characteristics was cleanliness (stone free and no dirt), colour (white seed colour), easy to cook, taste, size, less weevil damage, dryness and place of origin ranked in decreasing order of importance. At the consumer level, cleanliness that was also tied to the extent of weevil damage was ranked most important. This was followed by seed colour (preferable white), short cooking time, size and taste. From the sociological perspective, concerns are raised on the impact of past cowpea breeding activities giving the level of competitiveness and market performance of locally improved varieties observed. Recommendation is made for traders and consumers to be considered as relevant actors in all the stages of crop improvement and breeding activities. This is crucial for enhanced small‐holder farmer market access and strengthened food networks in rural economies.     

Online Price Discrimination and EU Data Privacy Law

Online shops could offer each website customer a different price. Such personalized pricing can lead to advanced forms of price discrimination based on individual characteristics of consumers, which may be provided, obtained, or assumed. An online shop can recognize customers, for instance through cookies, and categorize them as price-sensitive or price-insensitive. Subsequently, it can charge (presumed) price-insensitive people higher prices. This paper explores personalized pricing from a legal and an economic perspective. From an economic perspective, there are valid arguments in favour of price discrimination, but its effect on total consumer welfare is ambiguous. Irrespectively, many people regard personalized pricing as unfair or manipulative. The paper analyses how this dislike of personalized pricing may be linked to economic analysis and to other norms or values. Next, the paper examines whether European data protection law applies to personalized pricing. Data protection law applies if personal data are processed, and this paper argues that that is generally the case when prices are personalized. Data protection law requires companies to be transparent about the purpose of personal data processing, which implies that they must inform customers if they personalize prices. Subsequently, consumers have to give consent. If enforced, data protection law could thereby play a significant role in mitigating any adverse effects of personalized pricing. It could help to unearth how prevalent personalized pricing is and how people respond to transparency about it.     

The price path due to order imbalances: evidence from the Amsterdam Agricultural Futures Exchange

The lack of sufficient market depth particularly in many newly initiated futures markets results in relatively high hedging costs, and this inhibits the growth of futures contract volume. In this article the price path due to order imbalances is analyzed and a two-dimensional market depth measure is derived.Understanding the underlying structure of futures market depth provides the management of the futures exchange with a framework for improving their market depth and gives hedgers a better understanding of market depth risk. The managerial implications of our findings are demonstrated empirically using data from the Amsterdam Agricultural Futures Exchange.     

Futures markets,price stabilization and efficient exploitation of exhaustible resources

Markets for natural resource futures contracts and cash forward contracts experience a rapid growth. According to theory, this should result in more efficient resource depletion, implying that price formation is more consistent with Hotelling's rule. The rationale of this stabilization effect is briefly discussed. Next, we analyze the impact of expanding futures markets on the behaviour of individual resource owners trading on the cash market. Using a simple pulse extraction model, we demonstrate that the expected time of depletion can shift to the present or the future, and that utility of exploitation can go up or down, as market prices are stabilized.     

A relationship-management assessment tool: Questioning, identifying, and prioritizing critical aspects of customer relationships

With customer-relationship management (CRM) no longer a buzzword among trendsetters, organizations in all types of industries initially rushed to embrace it. Although a seductively attractive concept, the implementation of CRM proved difficult, however, and organizations are struggling with realizing their vision of a CRM organization. To help managers assessing the stage of relationships between their organization and the organization's business customers we consider the automotive industry. Based upon our case organization and its relationships with numerous business customers we develop a practical tool to question, identify, and prioritize critical aspects of customer-relationship management. First, we identify key areas in CRM. Secondly, we investigate how the chosen case organization has managed each of these key CRM areas over a broad range of business-customer relationships. Thirdly, we acknowledge that many organizations simultaneously have different types (transaction-relationship continuum) of business customers. We finish the article with a discussion of the study's limitations, and suggest avenues for future research.     

Expert relevance and the use of context-driven heuristic processes in risk perception

The effectiveness of a medical treatment should not predict its risk (highly effective treatments can be either safe or risky), however, people’s use of heuristic shortcuts may lead them to judge a link between effectiveness and risk, typically a negative correlation. A particular concern is that experts might use such a strategy and that this is unlikely to provide an accurate judgement. This large-scale field-based experiment compares expert-relevant and non-expert-relevant contexts, for both expert and public judgements of risk and effectiveness in the context of blood transfusion medicine. Postal questionnaires were distributed to anaesthetists (experts, N?=?123) and a general public (non-expert) comparison group (N?=?1153); half of the participants were cued with accompanying general information about genetically-modified (GM) biotechnology and half received specific information about blood product technologies. The blood-focussed information served to emphasise the medical relevance of the questionnaire to the expert group. Regression analyses showed that generally perceived effectiveness predicted perceived risk for both experts and non-experts, which suggests heuristic processing. However, although experts appeared to engage in heuristic processing for risk perceptions in certain circumstances, this processing is strongly affected by context. Experts who received the medically relevant context rated perceptions of effectiveness independently of perceptions of risk, unlike those who received the GM context. This indicates a reduced reliance on a low-effort heuristic for experts given an expertise-relevant context. The results are considered in light of dual-process (rational-associative) accounts of reasoning.