Countering Service Information Challenges in the Internet of Services

Business Webs apply the idea of value networks to the WWW. The underlying delivery platform is commonly referred to as the Internet of Services and will certainly have to deal with a great variety and amount of information about services along several service information dimensions. As soon as brokerage, discovery, or community feedback parts are decentralized, there emerge a number of service information challenges (modeling the information in a holistic way, documentation, interlinkage, tool interoperability, distributed querying, inconsistent information, and cooperation of different stakeholders). In this paper, we propose to counter such service information challenges by two artifacts. First, we contribute a Service Ontology based on a sound and rigid foundational ontology. The Service Ontology provides a holistic and consistent way of capturing service information. We apply the recommendations of the W3C Semantic Web Activity whose recent standardization has already opened new possibilities for tool interoperability, interlinkage of information, and distributed querying on the web. However, building and prescribing an ontology in standardized languages is not enough to address all service information challenges. Therefore, as a second contribution, we provide a method around the ontology including a governance framework, guidelines for applying the W3C Semantic Web recommendations, a lifecycle-spanning tool chain, and different levels of applicability. We label our method Semantic Business Web approach, since we build on W3C Semantic Web standards, use and extend them in the Business Web setting. Both artifacts are constructed in an interdisciplinary way by experts participating in the German lighthouse project THESEUS/TEXO. The project’s scenario also serves as a proof of concept evaluation of the artifacts.     

Globalisation: A New Growth,New Trade Perspective

The current crisis in Asia has seen the case for more open economic policy come under attack in the developing world. In this article Michael Chui, Paul Levine, Mansoob Murshed, and Joseph Pearlman argue that any reversal of the trend towards globalisation would be a great mistake for policymakers. The association of openness with higher growth is one of the most robust empirical results in economics. Here we explore the mechanisms that explain this result. We argue that current high growth rates in Asia are unsustainable and there is a long-term as well as a short-term problem of ‘over-investment’ in Asia. However, we report research findings that show how international knowledge spillovers and free trade can enable the world economy to grow, the developing countries to progress, and the developed countries to benefit.     

The Role of Information and Influence in Social Networks

A bstract .   This article examines two mechanisms through which social networks are related to job mobility: (1) access to diverse sources of information about job openings and (2) nonredundant sources of influence. Using data on job changing and social networks among television station managers, we assess the extent to which job information and influence variables mediate the relationship between social network structure and getting a better job. Results indicate that there is an association between job mobility and having nonredundant contacts, but our measures of the information and influence mechanisms are not significant mediators. We conclude by reexamining the network-resource model that forms the basis for much of the research on the relationship between social networks and job mobility.     

Why people follow the leader: the power of transference

We all admire leaders. In trying to understand how leadership works, however, we often lose sight of the fact that followers are a crucial part of the equation. Regrettably, they get short shrift in the management literature, where they are described as merely responding to their leaders' charisma or caring attitudes. What most analyses seem to ignore is that followers have their own motivations and are as powerfully driven to follow as leaders are to lead. In this article, psychoanalyst, anthropologist, and management consultant Michael Maccoby delves into the unconscious recesses of followers' minds. He looks closely at the often irrational tendency to relate to a leader as some important person from the past--a parent, a sibling, a close friend, or even a nanny. Sigmund Freud discovered this dynamic when working with his patients and called it"transference." But as important as it is, the concept remains little understood outside the realm of clinical psychoanalysis. This is unfortunate, because a solid understanding of transference can yield great insight into organizational behavior and endow you with the wisdom and compassion to be a tremendous leader. The author explains the most common types of transference--paternal, maternal, and sibling--and shows how they play out in the workplace. He notes that they have evolved as our family structures have changed. Whether followers perceive a leader as an all-knowing father figure, as an authoritative yet unconditionally loving mother figure, or as a brother or sister who isn't necessarily a model of good behavior, the leader can manage transferential ties by bringing unconscious projections to light. Then debilitating resentment and animosity can give way to mutual understanding and productivity--and a limping organization can start to thrive.     

Revisiting the Miles and Snow strategic framework: uncovering interrelationships between strategic types,capabilities, environmental uncertainty,and firm performance

The Miles and Snow strategic type framework is re‐examined with respect to interrelationships with several theoretically relevant batteries of variables, including SBU strategic capabilities, environmental uncertainty, and performance. A newly developed constrained, multi‐objective, classification methodology is modified to empirically derive an alternative quantitative typology using survey data obtained from 709 firms in three countries (China, Japan, United States). We compare the Miles and Snow typology to the classification empirically derived utilizing this combinatorial optimization clustering procedure. With respect to both variable battery associations and objective statistical criteria, we show that the empirically derived solution clearly dominates the traditional P‐A‐D‐R typology of Miles and Snow. Implications and directions for future research are provided. Copyright © 2004 John Wiley & Sons, Ltd.     

'High-performance' Management Practices, Working Hours and Work–Life Balance

The effects of selected high‐performance practices and working hours on work–life balance are analysed with data from national surveys of British employees in 1992 and 2000. Alongside long hours, which are a constant source of negative job‐to‐home spillover, certain ‘high‐performance’ practices have become more strongly related to negative spillover during this period. Surprisingly, dual‐earner couples are not especially liable to spillover — if anything, less so than single‐earner couples. Additionally, the presence of young children has become less important over time. Overall, the results suggest a conflict between high‐performance practices and work‐life balance policies.     

Disentangling the drivers of renewable energy investments: The role of behavioral factors

The scope of this study is to investigate the main determinants of renewable energy investments in Greece. For this reason, we build an appropriate framework to infer the decision‐making process in the renewable energy sources (RES). The main drivers are then categorized under two groups as economic, and behavioral ones. In the next stage, we rely on binomial (logit and probit) and quantile regression analysis to estimate the impact of these factors on investment decisions towards RES. Our findings indicate that investors who gain better access to knowledge and exhibit a more positive attitude towards the contribution of artificial intelligence (AI) on the RES industry have a higher share of renewables in their portfolio. We argue that these investors are willing to invest a higher amount in the RES industry today. At the same time, quantile regression models illustrate that this relationship is nonmonotonic (i.e., inverted U shaped curve), arguing that positive attitudes towards the contribution of behavioral factors on RES are not adequate to encourage investments after crossing a certain point (threshold). Based on the empirical findings, we argue that the message to policymakers and government officials is to promote a faster penetration of low carbon technologies to achieve sustainable economic and social growth.     

Interest Rate Risk, Residential Mortgages and Financial Futures Markets

Residential mortgage markets in both the United States and Canada have recently been dominated by instruments such as variable-rate and short-term rollover mortgages which require borrowers to assume a greater burden of interest rate risk. An outstanding question is whether this approach to risk allocation is Pareto optimal or whether there are other more effective methods of dealing with the risk created by interest rate volatility. This study examines the potential for shifting this risk from the mortgage market to the financial futures market. After considering the rationale for expecting that neither mortgage borrowers nor lenders wish to absorb the high levels of risk present in the existing financial environment, this study discusses the hedging of interest rate risk through financial futures markets. Empirical tests are then performed to evaluate the effectiveness of U.S. futures markets for hedging positions from the U.S. mortgage market. These results indicate that the interest rate risk inherent in residential mortgages can be substantially shifted through one or more positions in the existing futures contracts and long-term, fixed-rate mortgages may still be financially feasible under conditions of interest rate volatility.