Flexible estimation of price response functions using retail scanner data

Kalyanam and Shively [1998. Estimating irregular pricing effects: a stochastic spline regression approach. Journal of Marketing Research 35 (1), 16–29] and van Heerde et al. [2001. Semiparametric analysis to estimate the deal effect curve. Journal of Marketing Research 38 (2), 197–215] have demonstrated the usefulness of nonparametric regression to estimate pricing effects flexibly. The empirical results of these two studies, however, also revealed that nonparametric regression may suffer from too much flexibility leading to nonmonotonic shapes for price effects. In this paper, we show how the problem of nonmonotonicity can be dealt with without losing the power of flexible estimation techniques. We propose a semiparametric approach based on Bayesian P-splines with monotonicity constraints imposed on own- and cross-price effects. In an empirical application, we illustrate that flexible estimation of own- and cross-price effects can improve the predictive validity of a sales response model substantially, even when price response curves were constrained to show a monotonic shape, as suggested by economic theory. We also discuss the consequences from an unconstrained estimation of price effects.     

Hierarchical Bayesian conjoint models incorporating measurement uncertainty

The authors explore situations where consumers supplement their judgments with a measurement of uncertainty about their own preferences, either implicitly or explicitly, and develop two sets of hierarchical Bayesian conjoint models incorporating such measurements. The first set of models uses the relative location of a rating to determine the importance or weight given to the rating, in a regression setting. The second set uses interval judgment as a dependent variable in a regression setting. After specifying the models, the authors perform a theoretical comparison with a basic Bayesian regression model. They show that, under different conditions, the proposed models will yield more precise individual-level partworth estimates. Two simulated data examples and data from a conjoint study are used to illustrate the gains that could be obtained from modeling uncertainty. In the empirical application, the authors show that model fit improves when ratings for items that respondents do not like are given more weight compared to ratings for items that they do like. Electronic Supplementary Material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

Modeling the effects of including/excluding attributes in choice experiments on systematic and random components

This paper examines the impact of attribute presence/absence in choice experiments using covariance heterogeneity models and random coefficient models. Results show that attribute presence/absence impacts both mean utility (systematic components) and choice variability (random components). Biased mean effects can occur by not accounting for choice variability. Further, even if one accounts for choice variability, attribute effects can differ because of attribute presence/absence. Managers who use choice experiments to study product changes or new variants should be cautious about excluding potentially essential attributes. Although including more relevant attributes increases choice variability, it also reduces bias.     

The Role of the Global Reporting Initiative's Sustainability Reporting Guidelines in the Social Screening of Investments

Social screening of investments calls not only for investment policy and criteria, but also for information about companies, their policies, practices and performance. The Global Reporting Initiative (GRI) and its June 2000 Sustainability Reporting Guidelines have the potential to significantly improve the usefulness and quality of information reported by companies about their environmental, social and economic impacts and performance. The GRI aims to develop a voluntary reporting framework that will elevate sustainability reporting practices to a level equivalent to that of financial reporting in rigour, comparability, auditability and general acceptance. This will be a welcome and efficient supplement to the questionnaires, interviews, press releases, media reports and other sources of information traditionally used for screening in investment decision making – social/ethical and mainstream. The Dow Jones Sustainability Group Index, the Jantzi Social Index and the Innovest EcoValue'21 analytical platform, together with the SRI community, are all likely to benefit from GRI-style sustainability reports. One of the GRI's key challenges is to accommodate the broad variety of disclosure needs and expectations of a wide range of report users and company stakeholders. To maximize the usefulness of the GRI Guidelines, report users, including the SRI community, need to be engaged in the process of developing and refining the Guidelines over time. The GRI Guidelines are emerging as an important instrument in enabling companies to communicate with their stakeholders about performance and accountability beyond just the financial bottom line.     

Advertising effects on consumer welfare: Prices paid and liking for brands selected

The effect of advertising on consumer welfare has been the subject of dispute among economists, arising largely from disagreement among scholars regarding the persuasive versus the informative role of advertising. This paper reports two experiments that explore the welfare implications of advertising effects. Experiment 1 shows that the same advertisements can either increase or decrease prices paid for selected brands, depending on the degree to which the choice situation requires brands to be recalled in order to be considered. However, an increase in prices paid caused by advertising does not necessarily imply detrimental effects on consumer welfare. Experiment 2 shows that, even under circumstances in which differentiating advertising leads consumers to select brands with higher average prices, it can provide useful information to consumers that allows them to make purchases that are more in line with their personal tastes than are the choices of consumers not exposed to the advertisements.     

A Typology of Communicative Strategies in Online Privacy Policies: Ethics, Power and Informed Consent

The opaque use of data collection methods on the WWW has given rise to privacy concerns among Internet users. Privacy policies on websites may ease these concerns, if they communicate clearly and unequivocally when, how and for what purpose data are collected, used or shared. This paper examines privacy policies from a linguistic angle to determine whether the language of these documents is adequate for communicating data-handling practices in a manner that enables informed consent on the part of the user. The findings highlight that corporate privacy policies obfuscate, enhance and mitigate unethical data handling practices and use persuasive appeals to increase companies’ trustworthiness. The communicative strategies identified provide starting points for redesigning existing privacy statements with a view to communicating data handling practices in a more transparent and responsible manner, laying the groundwork for informed consent.     

Management Information System – A Tool for Corporate Sustainability

This paper represents the attempt to define a methodology that can evaluate the degree to which companies' information systems correspond to needs determined by the objectives of sustainability the firm imposes on itself. The result is the creation of a general model which define the correct approach to evaluating information systems – a model which should be adapted to the specificity of each single company which intends to adopt it. In the chart indicated, we obviously have not considered activities connected to the implementation of the survey system, which are particular to each company's situation. The first part of the paper consists of an overall introduction to the approach that has been used to assess the (MIS) of Granarolo, one of the Italian companies involved. The case study contains a profile of the company, the analysis of its MIS referred to the three dimensions of sustainability, and an evaluation of the strong points and issues to be developed. This approach to evaluate the gap between desired requirements of an information system for sustainability and current data available in a firm, has proved its consistency and usefulness. It helps to understand where data are, which dimensions, spheres, stakeholders account for and what is the level of integration between different information systems existing in the firm.     

Competitive analysis

Despite the strategic importance of understanding competitive structure and the dynamics of competitive behavior, there has been almost no empirical study of how managers perform these analyses. We provide a conceptualization of how competitive analyses can be framed by decision makers and for researching how human biases in decision making and corporate culture impact on the nature and use of competitive analysis information.We are grateful for the comments of George Day, Peter Dickson, Pete Fader, Don Lehmann, Rajan Varadarajan, and David Wheaton on an earlier version of this paper.     

Environmental Management Accounting: A Case Study Research on Innovative Strategy

The aim of this paper is to conduct an in-depth study on environmental management systems developed in the ceramic tiles sector. This study is conceived as an improvement on a previous survey related to an environmental diagnosis of the ceramic tiles sector where some incongruities between environmental explicit speeches and environmental actions were detected. Such incongruities revealed that firms assumed to be highly environmental committed while from facts this commitment was not so high proved. So, it was necessary to introduce case study research methodology to clarify and to understand the reasons of these inconsistencies. The main objectives of our case study research are two. The first one consists in determining the relationship between firms and environment, analysing environmental positions in companies assumed in their environmental strategy and their environmental behaviour reflected in facts, while the second one attempts to establish the role played by the accounting information system in the environmental management systems of the companies in the sector. Our case study research reveals the elaboration of a larger amount of environmental accounting information for internal use than for external one. This fact is due not only to the inexistence of regulations about environmental disclosures in Spain, at that time, but also to the importance of environmental internal accounting information for management which supports the prevalence of decision-usefulness theory in the implementation of environmental management systems.Lecturer of Management Accounting in the Department of Finance and Accounting of the University Jaume I of Castellon (Spain). PhD in Business Management, with a focus on Environmental Management Accounting. Participant in several research funding programmes related to Environmental Management in Spain, Scotland and Guatemala.     

Identifying and Developing Measures of Information Technology Ethical Work Climates

A model of information technology (IT) ethical work climates is presented. Using these ethical work climates and data collected from a national mail survey of Association for Computing Machinery (ACM) members, empirical measures were developed and evaluated. A mailing of 2446 questionnaires was sent to ACM members and 136 usable responses were returned (5.6%). Using these data, an exploratory factor analysis was performed using principle components analysis to identify the IT ethical work climates from the data. Six of these work climates were identified as predicted by the model. Two ethical work climates that were combinations of the proposed climates were also identified.From the results of the exploratory factor analysis, a confirmatory factor analysis was performed using Calis in PC SAS version 8. The purpose of this analysis was to evaluate the overall fit of these measures to the data and evaluate the psychometric properties of the measures. The fit of the IT ethical work climates model was acceptable. The psychometric properties of these measures were good. Based on these results, conclusions, limitations of the study, and directions for future research are proposed.