Remote viewing as applied to futures studies

Remote viewing is set of related protocols that allow a viewer to intuitively gather information regarding a specific target that is hidden from physical view and separated from the viewer by either time or distance. Research suggests that the same processes used to gather spatially non-local information can also be used to gather information that is temporally removed from the observer. This paper reviews the most common protocols for remote viewing — including Coordinate Remote Viewing (CRV), Associative Remote Viewing (ARV), and Extended Remote Viewing (ERV).¹This remains a controversial field of study. While over 30 years of data has been gathered with statistically significant results frequently occurring under laboratory conditions, skeptics are not convinced that RV is a useful pursuit. In addition to this, some of the output from RV can be vague and subject to personal interpretation.A number of factors have been shown to improve the success rate for remote viewing, including the use of experienced subjects, individual testing, feedback of results, and a short time-interval between the percipient response and the targeted future event. Finally, there also appears to be a relationship between the effectiveness of remote viewing efforts and sidereal time, which may be interpreted as evidence that some aspects of RV are subject to the same physical laws as are other phenomena studied by science.Remote viewing and related processes merit further exploration and study. While remote viewing may never be completely understood, it has the potential to make a meaningful contribution to the professional futurist′s toolbox.     

Antecedents and consequences of commitment in marketing research services: The client's perspective

Commitment is one of the most frequently studied variables in business-to-business relationships and several researchers propose it is the main antecedent of customer loyalty. However, while marketing relationships researchers agree on the importance of the construct, differences remain in its conceptualization and operationalization. This study examines commitment from the customer's perspective, consisting of three components: calculative, affective and normative. Relationships were tested between the three dimensions of commitment and social bonds, trust and satisfaction in the context of professional business services providers and their clients. The results of the model that was tested in Central and Eastern European companies show that affective commitment is the only one of the three components that significantly influences customer loyalty. Trust and social bonds have no significant relation either to normative or to calculative commitment while a relation of overall satisfaction with normative and calculative commitment is negative. The theoretical and managerial implications for the model to assist in the development of appropriate strategies to achieve affective commitment and loyalty in business relationships are discussed.     

John Stuart Mill's Theories of Wealth and Income Distribution

Although he was much influenced by David Ricardo when he wrote the classical part of his Principles , John Stuart Mill was not a Ricardian when he penned his theories of wealth and distribution. They are based on a triple foundation. First, a belief that economics is a moral discipline. Second a theory of custom-driven human behavior. Third, an empirically formed conviction that the institutions of state, education and business cooperate to structure the distribution of income. On the basis of these presuppositions, Mill formulated 1) an institutional theory of the formation of human and non-human wealth and 2) an even more institutional theory of distribution demonstrating how the aforementioned institutions malignantly skew the distribution of income to the advantage of the propertied classes and to the extreme disadvantage of the working class. As a social economist, Mill recommended institutional reforms designed to eradicate the poverty of the working class.     

The ADVIAN classification — A new classification approach for the rating of impact factors

A new classification scheme for the impact analysis based on an impact matrix is presented. In contrast to the state-of-the-art methods the impact factors of a social system are not grouped into 4 or 5 groups but ranked according to different criteria. The criteria include for instance the driving impact factors as keys for improvements to the system and the driven impact factors that may be indicators for the improvement success. The ranking for each criterion is on a scale from 0 to 100, independent of the number of impact factors.     

New product announcements as market signals: A content analysis in the DRAM chip industry

New-product announcements (NPAs) have considerable effects on competitors in industrial markets. Several studies have shown that the perceived threat caused by an NPA may trigger severe competitive reactions. Yet, it is still unclear how the perception of threat by competitors is related to the specific content of the announcement.This study explores the actual content of NPAs observed in a particular market. This is done through a multi-year content analysis of new-product announcements in the DRAM memory chip industry. The study analyzes patterns in the occurrence of attributes and demonstrates how firm strategy affects NPA content. Findings from this study provide important insights for managers about the design of NPAs. It also triggers further research on the use of NPAs in competitive industrial markets.