Embracing the whole individual: Advantages of a dual-centric perspective of work and life

In today's often complicated and fast-paced world, individuals are pulled in many different directions. Balancing work and personal roles—including those of parent, spouse, caregiver, volunteer, and so forth—can be a daunting task. In the literature, identity theory speaks to the multi-faceted existence employees face, beyond that of just “worker.” The differing roles individuals occupy have traditionally been viewed as competing, implicitly suggesting that attention to one area of a person's life necessarily detracts from the others, and that juggling and managing multiple roles causes stress and emotional strain. To explore the verity of this notion we conducted a study, which is described herein. Of significance, 55% of our sample indicated that they were dual-centric; that is, individuals who value both their work and non-work roles equally. In this article, we build on extant research and find support for the belief that dual-centrics experience more overall satisfaction, greater work-life balance, and less emotional exhaustion. Given the seeming increase in employees’ dual-centric focus, it is rational to suggest that one way in which organizations can improve and enhance employee well-being is by embracing them as whole individuals. This article explores that notion, and provides innovative examples from Fortune magazine's “100 Best Companies to Work For” list regarding how this objective can be accomplished.     

AIDS Policy and Pharmaceutical Patents: Brazil's Strategy to Safeguard Public Health

Developing nations are challenged to strike a balance between their patent obligations as members of the World Trade Organisation (WTO) and their drug pricing strategies. The Brazilian approach to pharmaceutical price negotiations has been strikingly effective. Describing the context of the Brazilian pharmaceutical sector, their public health system and the Brazilian AIDS policy, this paper examines the Brazilian strategy vis‐à‐vis the international pharmaceutical manufacturers to explore why their tactics were successful and the potential for wider application by other developing countries.     

Entry,market turbulence and industry employment growth

This paper investigates the relationship between industrial dynamics in terms of firm entry, market turbulence and employment growth. Do entry of firms, the composition of industry dynamics (net entry) and market turbulence (entry and exit) influence industrial employment growth? This paper provides an empirical investigation, using unique data for 42 disaggregated Swedish industrial sectors during the period 1997–2001. It is hypothesised that the importance of entering firms, net entry and market turbulence may differ significantly across industries. A quantile regression method is used in order to detect industrial differences in the response to industrial employment growth. The empirical evidence shows that, on the one hand, firm entry and market turbulence have a positive effect on employment for fast growing industries and that the effect is larger for high growth industries. On the other hand, the composition of industry dynamics in terms of net entry rates has a more dispersed effect across all industries, even though the effect of net entry is larger for high growth industries.     

Studying co-movements in large multivariate data prior to multivariate modelling

For non-stationary vector autoregressive models (VAR hereafter, or VAR with moving average, VARMA hereafter), we show that the presence of common cyclical features or cointegration leads to a reduction of the order of the implied univariate autoregressive-integrated-moving average (ARIMA hereafter) models. This finding can explain why we identify parsimonious univariate ARIMA models in applied research although VAR models of typical order and dimension used in macroeconometrics imply non-parsimonious univariate ARIMA representations.     

Permanent-transitory Decomposition in Var Models With Cointegration and Common Cycles

In this paper we derive permanent-transitory decompositions of non-stationary multiple times series generated by (r)nite order Gaussian VAR(p) models with both cointegration and serial correlation common features. We extend existing analyses to the two classes of reduced rank structures discussed in Hecq, Palm and Urbain (1998). Using the corresponding state space representation of cointegrated VAR models in vector error correction form we show how decomposition can be obtained even in the case where the number of common feature and cointegration vectors are not equal to the number of variables. As empirical analysis of US business fluctuations shows the practical relevance of the approach we propose.     

Entrepreneurship after displacement

Small Business Economics - According to Hoetker and Agarwal (Academy of Management Journal, 50(2), 446–469, 2007), research on knowledge transfers related to business closures is scarce. This...     

Does consumer knowledge affect consumer responses to advertised reference price claims?

As expected, internal reference prices (IRPs) and purchase intentions for two product categories (microwave ovens and disposable razors) differed according to whether consumers possessed a high or low level of consumer knowledge about the product in this factorial design experiment. Contrary to theory and expectations, neither internal reference points nor purchase intentions were affected by exposure to comparative price advertisements. Students were used as subjects in a before-after procedure with approximately two weeks between pre- and postmeasures of IRPs and purchase intentions. Postmeasures were taken immediately after exposure to ads containing three levels of advertised reference prices. t tests indicated differences between high and low knowledge group IRP means before ad exposure. However, no ANOVA differences were detected in change in IRP or purchase intention scores after ad exposure. © 1994 John Wiley & Sons, Inc.     

Why are Stock Splits Declining?

The percentage of firms undertaking stock splits has fallen from a peak of 23% in 1982 to less than 1% in 2009. Controlling for time trends and other economic determinants, the declining incidence of stock splits is significantly associated with a drop in household investors’ equity holdings and with a rise in household income. We also report a decline in the size of split factors that is associated with an increase in institutional ownership of equity and with an increase in household income. Collectively, the evidence is consistent with firms responding rationally to changes in investor characteristics.     

Inadequate supply and increasing demand for textiles and clothing: second-hand trade at auctions as an alternative source of consumer goods in Sweden, 1830–1900

Drawing on a study of historical national accounts and statistics, this article shows that a growing supply of mass-consumption textiles and clothing in Sweden during industrialization did not fully meet increasing demand. As a result, high demand for second-hand items remained even at the turn of the twentieth century. Records from a local auction house from 1830 to 1900 show that, even in the 1880s, more affluent urban consumers were still active on the second-hand market. Thereafter, they turned to the market for new goods, while potential demand from labourers and servants continued to be provided for by the second-hand market. Mechanization meant that more items entered this market. It changed the range and quality of objects available, consequently affecting the attractiveness of second-hand textiles and clothing. After the 1870s, falling and converging prices can be discerned, while more durable fabrics largely retained their value. We conclude that the consumer revolution (in a broader sense) had by this stage gained a foothold among ordinary Swedish urban households. The auction trade was part of a democratization of consumption. The general lesson is that understanding mass consumption requires research not only into second-hand consumption, but also into different regional settings.     

The Decision Usefulness of Financial Accounting Measurement Concepts: Evidence from an Online Survey of Professional Investors and their Advisors

In their current framework project, the IASB and the FASB identify decision usefulness as the objective of financial reporting. Unfortunately, accounting research has neither yet come up with an undisputed measure of decision usefulness, nor with a satisfying method to rank competing measurement concepts, such as fair value or historical cost, with regard to their relative decision usefulness. Thus, assessing the decision usefulness of different accounting measurement concepts ultimately poses an empirical question. We provide evidence to this question by surveying an important user group, namely professional investors and their advisors, about their opinions on the decision usefulness of different accounting measurement concepts. We find that our respondents clearly differentiate between mark-to-market and mark-to-model fair values. While they consistently rank mark-to-market fair values as most decision-useful, they generally rank mark-to-model fair values as least decision-useful. In addition, the ranking differs across asset classes.