Effects of Compensation Systems on Job Search Decisions: An Application of Person-Organization Fit

Past research has demonstrated the importance of pay level in job search and choice processes. Compensation policies other than pay level may have important effects on applicant attraction, yet there has been little research examining this possibility. The role of person-organization fit in job search and job choice decisions has also been supported. Because pay systems define an organization\u27s expectations and culture, they may be an important organizational attribute for individuals to compare with their needs and values; thus the corresponding level of fit between compensation policies and individuals\u27 dispositions may affect subsequent job search and choice decisions. Using several research methods and a sample of individuals currently involved in the interviewing process, this stugy examines both the main and interactive effects of various pay system attributes on job search. Resulting analyses primarily supported the hypotheses, suggesting that many facets of pay systems may have important effects on individuals\u27 job search and choice decisions

Applying Cross-cultural theory to understand users’ preferences on interactive information retrieval platform design

Presented at EuroHCIR 2014, the 4th European Symposium on Human-Computer Interaction and Information Retrieval, 13th September 2014, at BCS London Office, Covent Garden, London.In this paper we look at using culture to group users and model the users’ preference on cross cultural information retrieval, in order to investigate the relationship between the user search preferences and the user’s cultural background. Initially we review and discuss briefly website localisation. We continue by examining culture and Hofstede’s cultural dimensions. We identified a link between Hofstede’s five dimensions and user experience. We did an analogy for each of the five dimensions and developed six hypotheses from the analogies. These hypotheses were then tested by means of a user study. Whilst the key findings from the study suggest cross cultural theory can be used to model user’s preferences for information retrieval, further work still needs to be done on how cultural dimensions can be applied to inform the search interface design

Algal culture studies related to a Closed Ecological Life Support System (CELSS)

In many respects, algae would be the ideal plant component for a biologically based controlled life support system, since they are eminently suited to the closely coupled functions of atmosphere regeneration and food production. Scenedesmus obliquus and Spirulina platensis were grown in three continuous culture apparatuses. Culture vessels their operation and relative merits are described. Both light and nitrogen utilization efficiency are examined. Long term culture issues are detailed and a discussion of a plasmid search in Spirulina is included

Culture moderates biases in search decisions

Prior studies suggest that people often search insufficiently in sequential-search tasks compared with the predictions of benchmark optimal strategies that maximize expected payoff. However, those studies were mostly conducted in individualist Western cultures; Easterners from collectivist cultures, with their higher susceptibility to escalation of commitment induced by sunk search costs, could exhibit a reversal of this undersearch bias by searching more than optimally, but only when search costs are high. We tested our theory in four experiments. In our pilot experiment, participants generally undersearched when search cost was low, but only Eastern participants oversearched when search cost was high. In Experiments 1 and 2, we obtained evidence for our hypothesized effects via a cultural-priming manipulation on bicultural participants in which we manipulated the language used in the program interface. We obtained further process evidence for our theory in Experiment 3, in which we made sunk costs nonsalient in the search task—as expected, cross-cultural effects were largely mitigated

Complete replication of hepatitis C virus in cell culture.

Many aspects of the hepatitis C virus (HCV) life cycle have not been reproduced in cell culture, which has slowed research progress on this important human pathogen. Here, we describe a full-length HCV genome that replicates and produces virus particles that are infectious in cell culture (HCVcc). Replication of HCVcc was robust, producing nearly 10(5) infectious units per milliliter within 48 hours. Virus particles were filterable and neutralized with a monoclonal antibody against the viral glycoprotein E2. Viral entry was dependent on cellular expression of a putative HCV receptor, CD81. HCVcc replication was inhibited by interferon-alpha and by several HCV-specific antiviral compounds, suggesting that this in vitro system will aid in the search for improved antivirals

Beyond Hofstede: Challenging the Ten Commandments of Cross-Cultural Research

Culture is a pervasive construct. A Google search for "culture" provides over half a billion hits, while the Yahoo! search engine generates a figure over two billion, which is more than for other such popular terms as politics, war, the environment, or sex. As for academic sources, the construct of culture has enjoyed immense interest from the scholarly community; major social science electronic databases provide links to 100,000–700,000 scholarly articles when "culture" is used as the search keyword

Adapting to the Shifting Intent of Search Queries

Search engines today present results that are often oblivious to abrupt shifts in intent. For example, the query `independence day' usually refers to a US holiday, but the intent of this query abruptly changed during the release of a major film by that name. While no studies exactly quantify the magnitude of intent-shifting traffic, studies suggest that news events, seasonal topics, pop culture, etc account for 50% of all search queries. This paper shows that the signals a search engine receives can be used to both determine that a shift in intent has happened, as well as find a result that is now more relevant. We present a meta-algorithm that marries a classifier with a bandit algorithm to achieve regret that depends logarithmically on the number of query impressions, under certain assumptions. We provide strong evidence that this regret is close to the best achievable. Finally, via a series of experiments, we demonstrate that our algorithm outperforms prior approaches, particularly as the amount of intent-shifting traffic increases.Comment: This is the full version of the paper in NIPS'0