Marking high-technology market evolution through the foci of market stories: the case of local area networks

Previous research suggests that changing consumer and producer knowledge structures play a role in market evolution and that the sociocognitive processes of product markets are revealed in the sensemaking stories of market actors that are rebroadcasted in commercial publications. In this article, the authors lend further support to the story-based nature of market sensemaking and the use of the sociocognitive approach in explaining the evolution of high-technology markets. They examine the content (i.e., subject matter or topic) and volume (i.e., the number) of market stories and the extent to which content and volume of market stories evolve as a technology emerges. Data were obtained from a content analysis of 10,412 article abstracts, published in key trade journals, pertaining to Local Area Network (LAN) technologies and spanning the period 1981 to 2000. Hypotheses concerning the evolving nature (content and volume) of market stories in technology evolution are tested. The analysis identified four categories of market stories—technical, product availability, product adoption, and product discontinuation. The findings show that the emerging technology passes initially through a 'technical-intensive' phase whereby technology related stories dominate, through a 'supply-push' phase, in which stories presenting products embracing the technology tend to exceed technical stories while there is a rise in the number of product adoption reference stories, to a 'product-focus' phase, with stories predominantly focusing on product availability. Overall story volume declines when a technology matures as the need for sensemaking reduces. When stories about product discontinuation surface, these signal the decline of current technology. New technologies that fail to maintain the 'product-focus' stage also reflect limited market acceptance. The article also discusses the theoretical and managerial implications of the study's findings.     

The Theory-Practice Gap in Capital Budgeting: Evidence from the United Kingdom

We report the results of a survey of capital budgeting techniques used by United Kingdom firms. Where possible, the evidence is combined with data collected over a 22 year period to provide a basis for the discussion of causes of trends. We observe that there has been a substantial narrowing of the theory-practice gap in the use of project appraisal methods. The gap has also narrowed in other areas: the analysis of risk, inflation adjustment, capital budget preparation, WACC calculation and post-auditing. However, there are other elements of capital budgeting theory, e.g. probability and beta analysis which have been adopted by very few practising managers. We also discuss non-economic projects, capital rationing and hurdle rates.     

Customers' perceived value for private and state-controlled Hellenic banks

Under conditions of increasing competition banks try to improve their customers' level of satisfaction in order to create strong preferences and hence increase their customers' loyalty. This paper is based on data drawn from 1,470 questionnaires completed by customers of both private and state-controlled banks in various areas of Attica. It looks at the bank customers' satisfaction but focuses mainly on their perceived value from the banking services received. A first analysis of the data collected shows that state-controlled bank customers are older, with lower education and lower income. Additionally, state-controlled banks show lower proportions of very pleased customers and high proportions of displeased customers. A principal component analysis performed on the data related to perceived value has defined three main factors: professional service, marketing efficiency and effective communication, which have then been used as the basis for comparing the customers' perceived value between the two types of bank. The main findings of this analysis show that state-controlled bank customers enjoy a higher perceived value in the case of marketing efficiency (mainly due to the wider network and the favourable pricing policy) whereas private bank customers enjoy a higher perceived value in the case of professional service and effective communication.     

The strategic role of relational capabilities in the business-to-business service profit chain

This paper extends the original service profit chain by examining the role of relational capabilities with employees, customers and strategic partners on process and performance outcomes in a business-to-business context. More specifically, we demonstrate how satisfied and loyal employees are better in developing relationships with customers and strategic partners. These relationships enable firms to be more responsive towards customers and become more innovative, which increase customer satisfaction and loyalty and, ultimately, financial performance. Our results provide support for the development of relational capabilities in a business-to-business environment by extending the service profit chain (SPC) model. However, we find that while the development of strong customer relationships contributes to an improved service responsiveness of the firm, strategic partners do not.     

Towards an early warning system for sovereign defaults leveraging on machine learning methodologies

In this study, we address the topic of credit risk stemming from central governments from a technical point of view. First, we explore various econometric and machine learning techniques to build an enhanced sovereign rating system that effectively differentiates the risk of default among countries. Our empirical results indicate that the machine learning method of XGBOOST has a superior out-of-sample and out-of-time predictive performance. Then, we use the models developed to calibrate a sovereign rating system and provide useful insights into the set-up of a parsimonious early warning system. Our results provide a more concise view of the most robust method for classifying countries’ default risk with significant regulatory implications, given that the efficient assessment of sovereign debt is crucial for effective proactive risk measurement.