Marketing Consultancy for Launching a New Service

At the global level, developed Western economies experienced a migration from agriculture- and production--based economies to a service-based economy. Starting with 1990, world economy entered a new stage, the informational age, which brought an intense growth of the tertiary domain. This article presents the idea of developing a consultancy and training sector in Romania – a country in transition towards a developed economy – and analyses the preferences and the needs of the SME sector in this respect.consultancy, SMEs, strategic marketing, training.

Non-Standard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants

Managing Perplexity: Lessons from Inside the Romanian Business Culture

Despite the passage of several decades since the revolution of 1989, there is little professional literature designed to prepare foreign investors for the Romanian business culture. Visitors to this nation discover a friendly people who engage in business practices often characterized as perplexing, frustrating, and imbued with selfdefeating actions. The communist period in Romania’s history imbedded unethical behavior into the nation’s culture, including the morally ambiguous practice of favor trading. This paper describes this central business activity and how it shapes business dealings and often undermines opportunities. The cultural context that created the favor trading environment is discussed, and methods for managing this perplexing practice are explained

Romanian Consumers’ Perceptions and Attitudes Toward Online Advertising

In recent years the use of the Internet in Romania has grown dramatically. As a transitional economy and a member of the European Union, Romania presents new opportunities for both domestic and international firms. This study is an initial, exploratory effort that examines the beliefs and attitudes of Romanians toward Internet advertising. Among the findings based on data from 366 Internet users, (1) Internet use patterns appear to be a significant factor influencing Romanian consumers’ attitudes toward online advertising, (2) respondents indicated that one of the most important functions of advertising is to provide information, (3) while Romanian consumers believe that online advertising is fun and interesting they have doubts about its credibility, and (4) Romanian consumers with pro, ambivalent, and critics’ attitudes toward online advertising were significantly different in their online advertising behavior. Practical implications for managers are explored

Non-Standard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants

Non-Standard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants