Mobile diaries – Benchmark against metered measurements: An empirical investigation

Researchers seeking to study the relationships between consumers' communications, attitudes, and behaviors could benefit from monitoring consumers over time, across multiple locations and channels, and in a way that reflects consumers' subjective perceptions. Diaries on smartphones (mobile diaries) can be used as a research tool for such purposes. A mobile diary is a self-report instrument whereby people use their mobile handset to repeatedly report experiences of interest. Mobile diaries are increasingly used in psychology, geography, medicine, and commercial marketing. Yet they have rarely been used for quantitative marketing research, and were not benchmarked against best-practice metrics in marketing.In this study, we aim to set the ground for using mobile diaries in quantitative marketing research. We first lay out the theoretical infrastructure for the usage of mobile diaries, and describe possible respondent reporting concerns, including concerns related to non-reporting, reporting over time, and concerns stemming from individual-level heterogeneity.We demonstrate the potential of mobile diaries, as well as the importance of the various concerns, using a benchmark test case in the context of primetime TV viewing. Our benchmark uses a sample of respondents with both mobile diary viewing reports and Nielsen People Meter (NPM) records. Our analysis reveals that averaging across all conditions, 47.4%–64.7% of the NPM records are reported by the diary. The major sources for mismatch are random time periods without alarms, short viewings, and periodic reporting inactivity (pulsing). Concerns such as a decrease in reporting rates over time (e.g., fatigue), smartphone ownership, and demographic variation across individuals have relatively small effects on reporting likelihood. Analyzing the cases in which diary reports do not have a matching NPM record, we find many of them can be attributed to out-of-home viewing and viewing on non-metered devices. This finding demonstrates how mobile diaries can complement metered measurements. Overall, aggregate diary-based ratings have a 0.90 correlation with NPM ratings.We discuss implications for designing and using mobile diary studies in marketing.     

Partial least squares structural equation modeling in HRM research

Abstract

Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate analysis technique that human resource management (HRM) researchers frequently use. While most disciplines undertake regular critical reflections on the use of important methods to ensure rigorous research and publication practices, the use of PLS-SEM in HRM has not been analyzed so far. To address this gap in HRM literature, this paper presents a critical review of PLS-SEM use in 77 HRM studies published over a 30-year period in leading journals. By contrasting the review results with state-of-the-art guidelines for use of the method, we identify several areas that offer room of improvement when applying PLS-SEM in HRM studies. Our findings offer important guidance for future use of the PLS-SEM method in HRM and related fields.     

International deflation risks under alternative macroeconomic policies

We use a version of the Global Projection Model covering the United States, Euro area and Japan to assess options for dealing with the looming risk of international deflation. The zero floor to interest rates constrains monetary policy. Confidence intervals, derived from stochastic simulations, indicate ranges of uncertainty. The results suggest a high probability of a declining price level for a couple of quarters in 2009. Suitable policy adaptations reduce the risk that this might turn into a prolonged, global deflation. These include: a price level path target for monetary policy, which would respond to previous, as well as expected, shortfalls from the desired inflation rate; a more stimulative fiscal policy; and an increase in the long-run target for inflation.     

Risk-based decision analysis in support of precautionary policies

A decision-analytic model for avoiding a risky activity is presented. The model considers the benefit and cost of avoiding the activity, the probability that the activity is unsafe, and scientific tests or studies that could be conducted to revise the probability that the activity is unsafe. For a single decision maker, thresholds are identified for his or her current subjective probability that the activity is unsafe. These thresholds indicate whether the preferred course of action is avoiding the activity without further study, engaging in the activity without further study, or conducting a test or research programme to obtain additional information and following the result. When these thresholds are low, precautionary action is more likely to be warranted. When there are multiple stakeholders, differences in their perceptions of the benefit and cost of avoidance and differences in their perceptions of the accuracy of the additional information provided by the test or research programme combine to create differences in their decision thresholds. Thus, the model allows for the rational expression of differences among parties in a way that highlights disagreements and possible paths to conflict resolution. The model is illustrated with an application to phytosanitary standards in international trade and examined in terms of recent empirical research on lay perceptions of risks, benefits, and trust. Further research is suggested to improve the elicitation of model components, as a way of fostering the legitimate application of risk-based decision analysis in precautionary policy making.     

A theoretical framework for the studio as a learning environment

In this article we describe a holistic, ecological framework that takes into account the surface structures and pedagogical approaches in the studio and how these elements are connected to the construction of design knowledge: epistemology. In our development of this framework, we came to understand how disciplinary underpinnings and academic culture shape the ways that studio is enacted. Using practice theory, we illustrate our framework with two examples—one in Industrial Design and another in Human Computer Interaction—that demonstrate the ways in which the studio can act as a bridge between academic and professional communities. We came to see the studio as a unique practice community that connects academic and professional contexts. We argue that successful implementation of studio-based learning involves an awareness of disciplinary canons, ontological approaches to knowledge, and the academic constraints on studio-based approaches to learning.     

Does Aid Cause Trade? Evidence from an Asymmetric Gravity Model

Anderson and vanWincoop developed what has become the standard framework for framing and interpreting empirical work using the gravity model. Their framework relies heavily on an assumption of symmetry among countries. For issues related to North‐South trade, this assumption is problematic. In this paper, we develop an asymmetric extension of the Anderson–vanWincoop framework appropriate to the analysis of North‐South trade, where Northern countries produce differentiated goods and Southern countries homogenous ones. In addition, we use an appropriately extended version of Baier and Bergtrand and Taylor linear expansion – thus permitting its estimation using (good old) OLS. The result is an empirical model that (i) is better suited to the analysis of North‐South trade, (ii) is easy to estimate and compute comparative statics, not requiring a customised NLS routine and, given the way the South is included, (iii) provides a simple explanation of zero trade flows between some country pairs, a fact still not fully explained in the literature. As an illustration of its use, we examine the empirical link between foreign aid and trade.