Personalisation–privacy paradox: The effects of personalisation and privacy assurance on customer responses to travel Web sites

Personalisation refers to individualizing products, services, and contents according to customer interests and preferences. In order to deliver appropriate personalised offerings, firms inevitably need to collect rich customer data profiles. Prior research suggests that personalised services lead to positive customer responses such as increased willingness to disclose personal information and make purchases. However, another stream of research emphasizes negative outcomes of personalisation – namely, privacy concerns surrounding the use of personal information and associated negative effects on behaviour. The objectives of this study are twofold: (1) to examine how privacy assurance affects proximal outcomes of personalisation, such as perceived usefulness and privacy concerns; and (2) to identify the role such outcomes play in predicting customer behavioural responses, such as willingness to disclose personal information and make purchases. Our findings show that enhancing privacy assurance increases the perceived usefulness of services and decreases customer privacy concerns. Moreover, customer behavioural responses are positively related to the perceived usefulness of services and negatively associated with privacy concerns. However, despite the positive effects on perceived usefulness and purchase intentions, personalisation has no effect on privacy concerns and intentions to disclose personal information.     

Output Expectations and Forecasting of UK Manufacturing

This paper analyses both quarterly data from the Confederation of British Industry (CBI) Survey on respondents’ expectations of recent and forthcoming manufacturing output and monthly Office of National Statistics (ONS) figures on actual manufacturing output within the UK. Quarterly output expectations of the CBI manufacturers are explained from the monthly ONS observations using a bounded rationality approach. The logistic formulation models the diffusion process across respondents. There is a backward-looking CBI Survey perspective, explained by past ONS observations, and a forward-looking perspective, explained from future ONS statistics. Also, the forecasting of monthly manufacturing output from earlier values, along with the quarterly CBI Survey information, is examined and tested against the alternative Pesaran/Thomas method. The study provides econometric evidence for the validity of the logistic model and shows that bounded rationality can explain the formation of predictions among business managers in the UK manufacturing sector. The emerging consensus from the literature, supported by this paper, is that the logistic format is a superior approximation to the true data generating process compared with the earlier standard Anderson/Pesaran/Thomas approach. An adjustment to the Survey is used, which achieves perfect symmetry with up and down versions of the data. The benefits of this adjustment are tested in the forecasting section.

AN ECONOMIC RESPONSE MODEL OF HERBICIDE APPLICATION FOR WEED CONTROL

A biologically realistic model of crop yield response to herbicide application is presented. It includes functions for weed mortality from herbicide application and yield loss due to surviving weeds. The optimal herbicide rate and two types of decision thresholds are derived theoretically and illustrated with empirical examples. Responses of the various decision criteria to changes in parameters are also examined theoretically and empirically. A multidimensional threshold for weeds based on weed density and weed-free yield is presented. The issue of farmers using other than officially recommended herbicide rates is discussed.     

Why Farmers Quit: A County-Level Analysis

We identify the effects of alternative explanatory variables on the propensity of U.S. farmers to cease farming, with a particular emphasis on understanding the roles of off-farm employment and federal farm program payments. Conventional ordinary least squares analysis using all counties suggests that off-farm employment has no statistical effect on the (net) number of farmers quitting between 1987 and 1997, ceteris paribus . A more refined analysis, which separates counties losing farmers from those that gained farmers, reveals subtle and less clear-cut effects of off-farm employment (and federal program payments) on farm exits.     

AN EVALUATION OF ALTERNATIVE APPROACHES TO MARKET SHARE ANALYSIS WITH APPLICATION TO THE KUWAITI POULTRY MARKET

Changes in exporter market shares in the Kuwaiti poultry import market over the period 1971–81 are analysed by three modelling procedures. Two traditional approaches, a first-order constant transition probability Markov model and a set of market share equations, are found to be of only limited use. As an alternative, a multinominal logit model of market share behaviour is estimated. The empirical results indicate that, in addition to relative price changes, domestic policy inducements for Brazilian and European Community exports are important in determining market share changes. A comparison of the explanatory abilities of the models suggests that the multinominal logit model is as least as good as traditional modelling alternatives with respect to econometric criteria. It is concluded that the multinominal logit model offers considerable promise as a tool for market share research.