Why do Firms Purchase Used Assets?

We hypothesize that the increase in expectation about future technological change decreases the likelihood for the purchase of new assets because the change may make the new assets obsolete. To test this hypothesis, we use patents and citations data to represent the expected technological change. We find that the purchases of and the amount spent on used assets increase with the expectation of technological change, while time to completion of the purchase and the number of bids decrease with the increase in expectations about technological change. We exploit industry deregulations to establish identification. In contrast to the literature, we find no empirical support for financial constraint as a reason for purchasing used assets.     

The politics of HRM: waiting for Godot in the Moroccan civil service

This study illustrates the fundamental importance of a political understanding in order to improve HRM in both public and private organizations. It complements studies that have found a statistical relationship between public staff management and economic growth by presenting a case study of Morocco, using the strategic human resource management (SHRM) model as a framework.

There are several reasons why HRM in the Moroccan civil service has stagnated, notably unfamiliarity with HRM models and the French administrative heritage. But the fundamental reason is Morocco's political system, where real power resides in the Palace, and where political actors are reluctant to take bold initiatives. Thus a focus on the management level is currently misplaced, and fundamental political action harnessing the authority of the Palace without disempowering other political actors is needed.

The study implies that a political analysis is sometimes a prerequisite for improving HRM in both public and private organizations.     

Compliance with pension‐related mandatory disclosures and debt financing

Using hand‐collected data on the level of pension‐related mandatory disclosures required by International Accounting Standard 19 Employee Benefits, we test whether compliance levels with these disclosures convey information that affects firms’ access to the public instead of the private debt market, as well as the cost of their new debt issues. We document a higher tendency to access the public debt market for firms with higher levels of pension‐related disclosure. Furthermore, we find that firms with higher levels of pension‐related disclosure enjoy a lower cost in terms of issuance of public debt, but not a lower cost for private debt issues. Thus, the benefits of disclosure in reducing information risk are only realisable when creditors rely heavily on financial statements in their decision making, due to the limited access to private information. Additional tests reveal that high compliance levels effectively mitigate the negative effect of pension deficits on the cost of public debt. These findings provide novel evidence in the extant literature on the role of mandatory (and, in particular, pension‐related) disclosures on firms’ debt financing. They also have important policy implications.     

Contribution of female human capital in economic growth: an empirical analysis of Pakistan (1972–2012)

This study is to find out an impact of female human capital on economic growth of Pakistan. The study has therefore, used gender separate human capital as an explanatory variable along with other factors, labor force and physical capital. In this regard a composite human capital has been constructed by taking education and health as a proxy for human capital. The long run and short run dynamics among female human capital and economic growth are empirically tested on time series data spread from 1972–2012. Johanson’s co-integration approach has been applied for the long run and Vector Error Correction Model used for the short run relationship. The results show that the long run relationship between female human capital and economic growth is positive and significant. While the short run impact of female human capital on economic growth is positive but statistically insignificant.     

An Algorithm for Allocating Sponsored Recommendations and Content: Unifying Programmatic Advertising and Recommender Systems

Retailing and media platforms recommend two types of items to their users: sponsored items that generate ad revenue and nonsponsored ones that do not. The platform selects sponsored items to maximize ad revenue, often through programmatic auctions, and nonsponsored items to maximize user utility with a recommender system (RS). We develop a binary integer programming model to allocate sponsored recommendations considering dual objectives of maximizing ad revenue and user utility. We propose an algorithm to solve it in a computationally efficient way. Our method is a form of postfiltering to a traditional RS, making it widely applicable in two-sided markets. We apply the algorithm to data from an online grocery retailer and show that user utility for the recommended items can be improved while reducing ad revenue by a small amount. This multiobjective approach unifies programmatic advertising and RS and opens a new frontier for advertising and RS research. We provide an extended discussion of future research topics.