Profitability and Efficiency of High Nature Value Marginal Farming in England

The UK Brexit vote triggered a new wave of policy developments for a future outside the EU. In this context, we analyse the business performance of English hill and upland farms, characterised by marginal economic conditions but also high nature value (HNV). The analysis aims to help identify farm-level management and policy options for greater economic, environmental and social sustainability. Business performance is measured as technical efficiency and the occurrence and persistence of abnormal profits, estimated through stochastic frontier analysis and static and dynamic panel-data methods. The results help indicate rationales for recent trends including farm enlargement, farm family diversification, and agri-environment scheme entry. The single farm payment is found to be negatively associated with farm technical efficiency while agri-environmental subsidies were positively associated to short-term farm profitability. Farm adaptation and resilience during a period of likely turbulence in external circumstances is discussed in light of these findings, as well as potential parallels with marginal HNV areas across Europe.     

Erratic strategic decisions: when and why managers are inconsistent in strategic decision making

While decision makers in organizations frequently make good decisions rooted in stable and consistent preferences, such consistency in outcomes is not always the case. In this study, we adopt a psychological perspective of judgment to investigate managers' erratic strategic decisions, which we define as a manager's inconsistent judgments that can shape the direction of the firm. In a study of 2,048 decisions made by 64 CEOs of technology firms, we examine how both metacognitive experience and perceptions of the external environment (hostility and dynamism) could affect the extent to which managers make erratic strategic decisions. The results indicate that managers with greater metacognitive experience make less erratic strategic decisions. The results also indicate that in hostile environments managers make more erratic strategic decisions. But contrary to our expectations, in dynamic environments managers make less erratic strategic decisions. Similarly, hostility and dynamism interact in their effect on erratic strategic decisions in that the positive relationship between environmental hostility and erratic strategic decisions will be less positive for managers experiencing high environmental dynamism than those experiencing low environmental dynamism. These results have important implications for strategic decision‐making research. Copyright © 2010 John Wiley & Sons, Ltd.     

Interethnic relations,informal trading networks,and social integration: imitation,habits, and social evolution

The ethnically homogeneous middleman groups (EHMGs), which are informal trading networks, are ubiquitous in less-developed economies where the legal infrastructure for contract enforcement is not well developed. This paper develops a formal model of social interaction among members of the EHMG as well as in more general situations in a multi-ethnic or multi-cultural society consisting of identifiable ethnic or linguistic groups. Behavioral patterns are transmitted between generations and altered via imitation in social contacts. The model demonstrates how different discriminatory behavioral patterns can evolve and persist over time. One result is that the trust between such groups can increase due to a higher frequency of inter-group contacts. In concluding the paper, we speculate about how the model can be expanded to include changes in legal structures, especially contract law. This could lead to an increase in the trust between the different groups.     

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.     

Price shocks in regional markets: Japan's Great Kantō Earthquake of 1923

Japan's Great Kantō Earthquake of 1 September 1923 devastated the area around Tokyo and the country's main port of Yokohama. This article uses the earthquake as a case study to inform our understanding of the economics of disasters and the history of market integration. It seeks to test two main assumptions: first, that shifting demand and supply curves consequent on a disaster will have some impact on prices; and second, that any local changes in the disaster region are likely to be diffused across a wider geographical area. We make use of a unique monthly wholesale price dataset for a number of cities across Japan, and our analysis suggests three main findings: that price changes in the affected areas immediately following the disaster were in most cases reflected in price changes in Japan's provincial cities; that cities further away from the devastation witnessed smaller price changes than those nearer to the affected area; and that the observed pattern of price changes reflects the regional heterogeneity identified by scholars who have worked on market integration in Japan.     

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.