Place the good after the bad: effects of emotional shifts on consumer memory

Marketing research has a limited understanding about the effects arising from emotional shifts (i.e., the transition from one emotion to another) during the same advertising message. This paper sheds light on this topic through two studies. Study 1 examines whether an advertising message that features a negative-to-positive emotional shift (i.e., a shift from a negative to a positive emotion) generates greater recall of an advertised brand than an advertising message with a neutral-to-positive emotional shift (i.e., a shift from a neutral to a positive emotion) or one with no emotional shift. Study 2 examines whether an advertising message that simulates a buyer-seller encounter—with the seller reproducing a negative-to-positive emotional shift via facial expressions—generates a greater recall of the advertised content than an identical advertisement with no emotional shift. Results confirm that a negative-to-positive shift facilitates the recall of both the brand and the advertised information.     

Fractional Integration Versus Structural Change: Testing the Convergence of $$\hbox {CO}_{2}$$ Emissions

This paper assesses the stochastic convergence of relative \(\hbox {CO}_{2}\) emissions within 28 OECD countries over the period 1950–2013. Using the local Whittle estimator and some of its variants we assess whether relative per capita \(\hbox {CO}_{2}\) emissions are long memory processes which, although highly persistent, may revert to their mean/trend in the long run thereby indicating evidence of stochastic convergence. Furthermore, we test whether (possibly) slow convergence or the complete lack of it may be the result of structural changes to the deterministics of each of the relative per-capita emissions series by means of the tests of Berkes et al. (Ann Stat 1140–1165, 2006) and Mayoral (Oxford Bull Econ Stat 74(2):278–305, 2012). Our results show relatively weak support for stochastic convergence of \(\hbox {CO}_2\) emissions, indicating that only between 30 and 40% of the countries converge to the OECD average in a stochastic sense. This weak evidence disappears if we enlarge the sample to include 4 out of the 5 BRICS, indicating that our results are not robust to the inclusion of countries which are experiencing rates of growth which are far larger than those of the OECD members. Our results also decisively indicate that a slow or lack of convergence is not the results of a structural break in the relative \(\hbox {CO}_{2}\) emissions series.     

Innovation and ICT use in the EU: an analysis of regional drivers

Innovation and the use of information and communication technologies (ICT) are key areas for the European Cohesion Policy. Studies available at the regional level explore innovation and ICT use incorporating different variables, while those investigating ICT use mainly focus on that of households. This paper investigates the existence of common factors for innovation and ICT at the regional level, considering not only ICT use by households but also that of firms. Using factorial and spatial regression analysis, we find that although ICT use and innovation are mainly explained by different variables, knowledge-intensive services and the percentage of population aged 15–64 are common to all of them. In addition, ICT use by households and ICT use by firms are basically driven by different factors. Government quality is the main factor explaining ICT use at home, while ICT use by firms is mostly driven by employment in knowledge-intensive services. R&D is the main variable explaining innovation. We also find positive spatial effects, which are particularly notable in ICT use by households. The results stress the importance of promoting specialization strategies based on the knowledge economy that may contribute to creating synergies between innovation and ICT use in different environments.     

Rights,governance, and foreign direct investment: an industry-level assessment

Theories of multinational enterprises emphasize that foreign direct investment (FDI) is undertaken in different industries for different reasons, yet studies of the effects of rights and governance on FDI generally rely on aggregate-level FDI data. This paper evaluates US FDI outflows to 15 industries (eight manufacturing, seven non-manufacturing) in 54 countries in a linear dynamic panel data gravity FDI model using a ‘system’ generalized method of moments estimator and several widely used rights and governance indexes. At the aggregate level, we estimate that stronger rights and governance have a positive effect on FDI, consistent with most prior studies. At the industry level, we estimate larger positive effects of rights and governance on FDI for service than manufacturing industries, particularly for the information and the finance and insurance industries.     

The Relationship Between Individuals’ Recognition of Human Rights and Responses to Socially Responsible Companies: Evidence from Russia and Bulgaria

An emerging body of literature has highlighted a gap in our understanding of the extent to which the salience attached to human rights is likely to influence the extent to which an individual takes account of Corporate Social Responsibility (CSR) in decision making. The primary aim of this study is to begin to address this gap by understanding how individuals attribute different emphasis on specific aspects of human rights when making decisions to purchase, work, invest or support the community operations for socially responsible organisations. In order to achieve this objective, a survey instrument was administered to professionals in Russia and Bulgaria. Our data indicate that there is a significant correlation between individuals’ sensitivity towards different components of human rights and their perceptions of the importance of CSR in decision making. Specifically, the recognition of political rights was strongly associated with the willingness to purchase, invest, seek employment and support socially responsible firms. Our analysis also outlines significant differences between the Russian and the Bulgarian samples with regard to the manners in which individuals rate the importance of civil, political and economic human rights.     

Partnership,reciprocity and team design

This paper studies the effect of intention-based reciprocity preferences on the free-riding problem arising in partnerships. Our results suggest a tendency of efficient partnerships to consist of members whose sensitivity to reciprocity is – individually or jointly – sufficiently high. Sufficient conditions for the implementation of the efficient strategy profile require a reciprocity-based sharing rule so that each partner gets a fraction of the output, which is a percentage of his own sensitivity to reciprocity with respect to the overall sensitivity in the team. Finally, we introduce the concept of psychological strong Nash equilibrium and show that it allows for the unique and collusion-proof implementation of the efficient strategy profile.     

An economic evaluation attached to a single-centre,parallel group,unmasked, randomized controlled trial of a 3-day intensive social cognitive treatment (can do treatment) in patients with relapsing remitting multiple sclerosis and low disability

Abstract

Aims: This trial-based economic evaluation (EE) assesses from a societal perspective the cost-effectiveness of an intensive 3-day cognitive theory-based intervention (CDT), compared to care-as-usual, in patients with relapsing remitting multiple sclerosis (RRMS) and low disability (Expanded Disability Status Scale [EDDS] score < 4.0).

Materials and methods: The trial of the EE was registered in the Dutch Trial Register: Trial NL5158 (NTR5298). The incremental cost-effectiveness ratio (ICER) was expressed in cost on the Control sub-scale of the Multiple Sclerosis Self-Efficacy Scale (MSSES) and the incremental cost-utility ratio (ICUR) in the cost per Quality Adjusted Life Years (QALY) using the EQ-5D-5L. Bootstrap, sensitivity, and sub-group analyses were performed to determine the robustness of the findings.

Results: The two groups of 79 patients were similar in baseline characteristics. The base case ICER is situated in the northeast quadrant (€72 (40.74/€2,948)) due to a higher MSSES Control score and higher societal costs in the CDT group. The ICUR is situated in the northwest (inferior) quadrant due to losses in QALY and higher societal costs for the CDT group (?0.02/€2,948). Overall, bootstrap, sensitivity, and sub-group analyses confirm the base case findings. However, when the SF-6D is used as a study outcome, there is a high probability that the ICUR is situated in the northeast quadrant.

Limitations: The relative short follow-up time (6?months) and the unexpected increase in MSSES Control in the control group.

Conclusions: When using the EQ-5D-5L to calculate a QALY, CDT is not a cost-effective alternative in comparison to care as usual. However, when using self-efficacy or SF-6D as outcomes, there is a probability that CDT is cost-effective. Based on the current results, CDT for patients with RRMS clearly show its potential. However, an extended follow-up for the economic evaluation is warranted before a final decision on implementation can be made.     

An integrated approach to supply chain risk analysis

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies’ awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processes.     

Econophysics review: II. Agent-based models

This article is the second part of a review of recent empirical and theoretical developments usually grouped under the heading Econophysics. In the first part, we reviewed the statistical properties of financial time series, the statistics exhibited in order books and discussed some studies of correlations of asset prices and returns. This second part deals with models in Econophysics from the point of view of agent-based modeling. Of the large number of multi-agent-based models, we have identified three representative areas. First, using previous work originally presented in the fields of behavioral finance and market microstructure theory, econophysicists have developed agent-based models of order-driven markets that we discuss extensively here. Second, kinetic theory models designed to explain certain empirical facts concerning wealth distribution are reviewed. Third, we briefly summarize game theory models by reviewing the now classic minority game and related problems.