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The purpose of this paper is to examine the range of products and services offered by the professional cricket teams in the UK. To what extent have they added to their core activity of staging matches?

A case study approach was adopted using both quantitative and qualitative methods. The accounts of the 18 teams and the governing body were reviewed to analyse the flow of income within the sport and categorize its sources. Interviews were then held with senior commercial staff of 12 of the teams.

All of the teams had engaged in brand extensions, offering a category of products/services that were more concerned with facilities utilization. These were not aimed at fans of the teams, as with conventional sporting extensions, but at a different market. Though there was some overlap between customers. The use of alliances and joint ventures was common in the provision of these lines.

The research is limited to a single sport, with the portfolio being investigated from a management as opposed to a consumer perspective. The findings are likely to be relevant to other sports teams, particularly small and medium-sized enterprises, where income from the sport alone is insufficient to maintain professional status.

This paper adds to the previous research on typologies of brand extensions in sport by incorporating product/service lines that were aimed at resource utilization and different markets.

This paper embraces the e‐business model concept as the unit of analysis for investigating the ASP market. It develops three constructs of the ASP business model: strategic positioning; product/service portfolio; and customer value proposition. Using a case study method, it discusses the findings from four ASP firms; each having attempted to develop a unique ASP business model. The findings suggest the ASP business model is fundamentally flawed as ASP firms fail to provide the customer with an attractive value proposition.

Innovation within companies is becoming mandatory and vital. A policy of voluntarism aiming at supporting innovation can be based on an operational process managing the evolution of the firm's intellectual corpus, becoming a tool for innovation. This paper seeks to explain and demonstrate the link between knowledge management and innovation.

The fundamental assumption is to regard knowledge creation as an intellectual corpus evolution process, based on knowledge workers' creativity. Their creativity is stimulated by the critical analysis of the intellectual corpus, which leads to the creation of new technologic trajectories in continuity or divergence from existing trajectories. Based on a systemic model of intellectual capital, the analysis of the dynamic of knowledge has shown that the increase of value of intellectual capital may be described as an evolutionist process.

An experiment was conducted to validate the assumptions based on the analysis of the intellectual capital of a company, on the process of generating new items for the intellectual capital, on the regulation of this process by a community of knowledge workers and based on the integration of the results into the value chain of the organization.

Based on interviews with experts about their inventive tracks during recent decades, the main limitations/difficulties come from making the inventory of the intellectual corpus of an organization.

Social implications include an emphasis on the projection of experts' inventive tracks onto the knowledge map of the organization.

This paper links intellectual corpus and creativity: creation leads to intellectual property rights.

Strategy Question: How do we determine and prioritize which products/services need action?

Summary: This very important tool helps provide a perspective on where product/service improvements are needed relative to performance and margin parameters. It is designed to provide a concise “current state” assessment of product/service offerings using three categories: (1) No deficiency — competitive in both Product and Price/Cost areas (color coded white), (2) One deficiency — Product performance or Price/Margin deficiency (color coded gray); and (3) Two deficiencies — Product performance and Price/margin deficiency (color coded black). When these product/service deficiencies are displayed relative to the most important market segments (ranked in decreasing order of priority), the tool output serves as an insightful baseline from which to scope, frame, define and prioritize product improvement and margin-enhancement projects needed. Your list of potential projects begins here. Many of the prior tools come together at this point. Through previous tools, the markets, environment, and the current competitive positions of the products or services are understood. This tool helps to define a structure to pull all this information together in a simple way to add perspective toward defining and prioritizing potential actions.

In the literature, there are many methods that can be helpful in strategic management of universities. Some of them are related to the aspect of sustainability, in terms of balancing the level of fulfillment of different, often conflicting objectives, which must be considered when building strategies. These methods include product/service portfolio ones. However, their use is often intuitive and detached from the quantitative aspects of management. The purpose of this paper is to present a proposal of the modification of the portfolio methods through the use of one of discrete optimization problems, namely, the multiple knapsack problem. The proposal is applied to a selected university. The results are presented and discussed.

The research methodology consists in a conceptual work: combining non-quantitative portfolio methods used in strategic management and the quantitative multiple knapsack problem. The analogy is established between a market sector (capacity) and a knapsack (capacity), a university department value and an object value, the university improvement budget and a knapsack, an object cost and an improvement measure cost. Then, the case study is used to conduct an initial validation of the proposed approach.

A quantitative model for strategic management of university as a whole or university departments is proposed. It allows to plan and control the application of improvement measures, allowing the university units to take on a better position in the educational market. It has been initially applied to a small university.

The model requires much more real-world case studies. Also, it will usually be difficult to establish the cost of running individual university units as well as the cost of corrective measures. The capacity of knapsacks – here of market sectors – will also be difficult to calculate. The method to be used here is activity-based costing, but it will not solve all the problems immediately, as its practical application is difficult.

The proposed model will allow to plan and evaluate strategic changes of university as a whole and its units’ position using quantitative values and to consider various strategic scenarios.

In order to establish the data necessary to construct the model, various stakeholders will have to cooperate (the university promotion department, the accounting representatives, the student and industry representatives etc.), probably for the first time. Such cooperation will improve the university position even if the model itself will not be able to be applied immediately.

The link between portfolio methods and a quantitative optimization method for university management purposes has been established in the paper for the first time in the literature.

In any type of business it is almost inevitable that some products or services will be more financially attractive to market than others. Ways are introduced in which strategic business units can evaluate the kinds of products and services they are offering. The suggestion is made that it may be in the interests of some units to drop certain kinds of products or services because they are unable to be operated profitably. Other products or services, however, may benefit from investment. Various product portfolio models exist which help in the task of classifying products or services. The various approaches are discussed, and how to develop the GEC‐McKinsey type of model with the aid of a spreadsheet is shown.

The unobserved benefits of digital technologies are described as digital dark matter. Product service systems (PSSs) are bundles of products and services that deliver value in use, which is unobserved but generates benefits. This paper aims to empirically quantify digital dark matter within PSSs and correlates that measure with national competitiveness.

A novel methodology establishes the link between customer needs and a product and digital service portfolio offered across ten developed economies. The case context is the music industry where product and services are often substitutes – a cannibalistic PSS. Consumer information is obtained from a unique database of more than 18,000 consumer surveys. Consumer demand for digital formats is modelled and predicted through logistic regressions.

The work provides inverse estimations for digital dark matter within PSSs by calculating the gap between supply and demand for digital offers – described as the business model challenge. The USA has the lowest business model challenge; the home of major companies developing digital technologies. Digital dark matter is shown to be positively correlated with national competitiveness and manufacturing competitiveness indices.

The success of a cannibalistic PSS requires good understanding of market demand. Governments embarking on soft innovation policies might incentivise the development of service-orientated business models based on digital technologies.

Work expands theory on the concept of digital dark matter to the PSS literature. Empirically, a novel method is proposed to measure digital dark matter.

The purpose of this paper is to shed some new light on the entrepreneurial finance of green start-ups, for which there has been little quantitative empirical evidence thus far. It explores what challenges green start-ups might experience when it comes to financial access.

The paper includes a survey of start-ups in Finland, Germany and Sweden and the separate evaluation of the “greenness” of participating companies’ product/service portfolios based on Eurostat’s Environmental Goods and Service Sector classification. A logistic regression is carried out for different company phases for two measures of challenges (“difficulty accessing finance” and “rejection by investor/funder”).

Green start-ups as an overall group cannot be said to have more challenges in access to finance. Particularly, a lack in business education and a high level of innovativeness, however, seem to be lead to more challenges for green start-ups in accessing finance compared to other start-ups.

Further research might seek to identify which exact characteristics of innovative green start-ups lead to challenges in financial access, i.e. is it individual factors such as high risk levels, high investment sums, long development periods or a low return prospect – or is it rather a combination? It might, furthermore, be rewarding to investigate whether “interventions” of business-related training might reduce challenges.

Suggestions are made for improved policy support to sustainable entrepreneurship in the case of green start-ups.

This research paper provides quantitative empirical analysis in a new research area, which has previously been predominantly theory based with some anecdotal observations as well as some early qualitative research.

Purpose: Since the referendum in 2016, European companies have taken pre-Brexit measures to face the uncertainty over the UK’s withdrawal from the EU. The purpose of the chapter is to identify and discuss the strategies of Polish companies in face of Brexit.

Methodology: The chapter presents results of an empirical quantitative analysis. The data have been collected with the use of Computer-Assisted Telephone Interviewing (CATI) method with a pre-defined questionnaire. The research focuses on 500 Polish companies active in the British market and involves a cluster analysis.

Findings: The conducted analysis enabled us to distinguish four main groups of companies: observers, cautious expanders, opportunity seekers, and diversifiers.

Most of the companies decided to adjust their strategies and take an active approach in the time of uncertainty. The majority relied on their existing product/service portfolio and only the diversifiers engaged in both: new market entries and new product/service development. Data from the survey show that companies feared mostly the “no deal” scenario and many of their decisions ahead of Brexit were motivated by it.

Value: The strategies identified in the analysis relate to those we can find in the Ansoff’s matrix. It has been shown that cautious expanders and diversifiers coincide with the exact Ansoff strategies of Diversification and Market development. Two other strategies, on the other hand – observers and opportunity seekers are hybrids of the existing Ansoff ones.