Poverty effects of food price escalation: The importance of substitution effects in Mexican households

Recent food price increases reportedly caused significant numbers of households to fall into poverty, particularly in the developing world. Most research into the welfare effects of these food price changes assumes constant demand or approximates second order substitution effects. Poverty forecasts with these assumptions may overestimate or underestimate the effect of food price increases in a nation where most households consume diverse food baskets. We account for full substitution by calculating a theoretically consistent food demand system, accounting for household responses to food price changes by decreasing some food purchases and increasing other food purchases. We use Mexican data to confirm the mitigation of adverse welfare effects from food price increases after accounting for country-specific dietary preferences in modeling demand. In comparison to previous literature, our welfare measures predict theoretically consistent numbers of Mexican households entering poverty due to recent food price changes.     

The role of e-Health in the changng health care environment

In 2005 health care organizations spent 2.3% of total operating expenses on information technology and are slowly developing the infrastructure necessary to expand e-Health capabilities. E-Health is being recognized as a method to improve the overall health status of the population. It is important to build partnerships among health care providers, local community organizations, and national health care associations to ensure the continued development of e-Health initiatives. This study has managerial implications associated with the strategic application of e-Health systems and policy implications on future resource allocation.     

Full Steam Ahead or Abandon Ship? An Empirical Investigation of Complete Pivot Decisions

New products or services often misalign with customer preferences, and sometimes these initial offerings must be abandoned and replaced. Factors influencing these “complete pivot” decisions are poorly understood. We use behavioral decision theory to develop a theoretical model of pivot decisions that tests our predictions via a conjoint analysis experiment. We find that magnitude of the miss (revenues compared to plan), length of the runway (cash available/burn rate), and attribution for the miss (reason for customer misreads) significantly influence complete pivot decisions, and we simultaneously consider interactions. Individual grit and impulsiveness also shape the effects of some attributes.     

Buy Local! Familiarity and Preferences for Extra Virgin Olive Oil of Italian Consumers

Over the last few years, the origin of the local product has played a central role in consumer choices. This study explores what Italian consumers want and look for when purchasing olive oil by combining a web-based survey and a perceived analysis technique. In particular, preferences for different olive oil attributes as well as the psychographic traits of respondents were revealed through a web-based questionnaire administered to Italian consumers (N = 179). From this questionnaire, respondents who indicated their availability to participate further underwent a preference test under blind conditions (N = 99). Respondents also did an expectation test based on the visual observation of the labels. Results showed that the majority of consumers considered local production, PDO and region as factors of highest importance in determining olive oil quality.     

Human resource management in multinational and domestic enterprises: A comparative institutional analysis in Southeast Asia

This article looks at the relative impact of context on the role of senior managers. It compares HR directors of domestic enterprises (DEs) with those of multinational enterprises (MNEs), within an emerging market setting, based on a survey of HR directors in Brunei. We found that, with the exception of some aspects of selection and recruitment, HR directors of MNEs accorded a higher priority to strategic tasks but were more reluctant to delegate. This study confirms the importance of MNEs in pioneering more modern and integrated approaches to people management but also demonstrates the limitations to the extent where they might act as evangelists of new practices that are adopted by their local peers. In contrast, local firms were more likely to concentrate their attention on administrative, rather than strategic, issues. We draw out the implications of our findings for theory and practice.     

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

Recent empirical assessments revealed that footprint indicators calculated with various multi-regional input–output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains.     

Digital insurance brokers—old wine in new bottles? How digital brokers create value

This article analyzes digital brokers in the countries of the DACH region, Germany, Austria, and Switzerland, from a business model perspective. We argue that the potential to create new value for insurance customers has not yet been fully realized. Our analysis has identified two strategic action areas. The first concerns the exploitation of the wealth of customer data available. Those digital brokers who will succeed in generating new content and services using data analytics have the potential to take customer centricity and individuality to new bounds. The second centers around introducing aspects of community, such as connecting peers and enabling them to interact. The critical success factors are volume, a high degree of automation as well as leveraging the infrastructure and data to delivering new, value-adding content and services that go beyond traditional intermediation.