Search results

The purpose of this research is to determine how managers’ decisions to discontinue products may be affected by their cognitive and demographic characteristics. Research in product management and entrepreneurship has primarily focused on the introduction of innovations and the marketing of emerging and existing products in the marketplace. Considerably less research has focused on product elimination and how marketing managers decide to remove poorly performing products from a given product portfolio. Nevertheless, product elimination decisions are critical to maintaining business health and protecting firm profits, and are a commonly encountered decision for entrepreneurs and managers of existing products. This study empirically explores the role of factors that may affect a manager's decisiveness in eliminating poorly performing products from a product portfolio.

Using a simulated business environment, this study empirically explores the role of factors that may affect a manager’s decisiveness in eliminating poorly performing products from a product portfolio. Product portfolio decisions are presented to a sample of emerging managers using a computer simulation, and the impact of manager characteristics, namely, cognitive style, gender, academic profile and entrepreneurial intentions on product elimination decisiveness is examined using regression analysis.

The findings indicate dominant effects for cognitive style and academic profile in driving the decisiveness of product elimination decisions.

The findings highlight the importance of the academic profile and cognitive style of those entrusted with managing product portfolios, especially as is related to product elimination decisions.

The findings imply a need for determining the optimal fit of candidates for product portfolio management roles, based on factors such as cognitive style, academic performance and academic area of specialization.

Given the role of entrepreneurial enterprises in enabling social equity, this research highlights the need for entrepreneurial education focusing not only on product introduction but also product omission.

This research expands prior research findings on innovation, promotion and elimination of products by asking what happens at the end of a product’s life when the prospects for a product are no longer strong. The research shows that some managers are less decisive and therefore may be challenged when handling product portfolios with sub-performing products. The findings indicate cognitive and academic influences on product elimination indecisiveness and open new avenues for further examining similar influences in managerial decision-making. This line of work therefore encourages inquiry into the drivers of the important decision of product elimination.

The purpose of this paper is to create a benchmark and identify best practices for Project Portfolio Management (PPM) for both tangible product‐based and service product‐based development project portfolios.

A questionnaire was developed to gather data to compare the PPM methods used, PPM performance, PPM challenges, and resulting new product success measures in 60 Australian organisations in a diverse range of service and manufacturing industries.

The paper finds that PPM practices are shown to be very similar for service product development project portfolios and tangible product development project portfolios. New product success rates show strong correlation with measures of PPM performance and the use of some PPM methods is correlated with specific PPM performance outcomes.

The findings in this paper are based on a survey of a diverse sample of 60 Australian organisations. The results are strengthened by comparisons with similar North American research; however, they may not be representative of all environments. Research in other regions would further qualify the findings. As each organisation's PPM process is unique, case study methods are recommended for future studies to capture more of the complexity in the environment.

The paper shows that PPM practitioners and executives who make decisions about the development of tangible products and/or service products will benefit from the findings.

This paper extends the existing understanding of PPM practices to include service development project portfolios as well as tangible product development project portfolios and strengthens the links between PPM practices and outcomes.

An updated version of the original (1985) text, the book covers all aspects of marketing and selling bank services: the role of marketing; behaviour of customers; intelligence, planning and organisation; product decisions; promotion decisions; place decisions; price decisions; achieving sales. Application questions help to focus the readers' minds on key issues affecting practice.

This study aims to analyze the relationship between the adherence to critical chain project management (CCPM) practices and the new product development performance, in terms of the results of product development programs and product portfolio management (PPM).

A survey was conducted with 79 innovative companies operating in Brazil. Data were analyzed using correlation analysis and non-parametric tests.

Significant and positive correlations were found between CCPM adoption and the performance factors proposed. The adoption of CCPM offered stronger correlation with PPM performance than with the adoption of traditional methods. The results further indicate a possible indirect contribution of CCPM practices to the product development program by means of PPM improvement.

This study deepens the knowledge of the joint study between project management and new product development, by bringing empirical evidence that the adoption of specific practices suggested by CCPM is used by organizations with superior performance. Moreover, the results broaden CCPM literature by attesting that companies do not necessarily have to apply the CCPM approach in a formal and explicit way to obtain the performance results given. The analyses still have practical value when indicating which CCPM practices should be prioritized by managers seeking high performance in PPM.

The purpose of this paper is to demonstrate that there is not just a single project portfolio operating within an organisation, but instead there are multiple portfolios.

This paper follows a case study methodology, utilising secondary sources in the form of publically available reports.

The authors offer a definition of whole of enterprise portfolio management and suggest that this conceptual tool will allow an organisation to control programs and portfolios, particularly, where organizations adapt to emergent situations.

This paper is supported through a single case study using secondary data only. Whilst this provides an illustrated example to support a theoretical model, further empirical research is required to determine its applicability in other sectors and organisational contexts.

This paper provides a whole of enterprise portfolio model in the utilities sector and can be applied to many organisations. It also provides a basis for further research.

This paper provides a new perspective on portfolio management, suggesting that the organisation consists of many portfolios that need to be managed in an integrative manner, rather than just the project portfolio be examined and managed in isolation.

The electric utility industry, unlike most other technology‐intensive industries, does not spend much money or effort on research and development. Many utilities do not possess an in‐house R&D facility, nor is there an R&D line item in their budgets. Over the last several decades the rate of change in the electric utility industry has been very slow and in‐house R&D efforts have not been required. As the rate of change in the industry is beginning to change, the need to pursue R&D is increasing. The electric utility industry is responding to this increasing requirement by increasing R&D budgets, and in some cases re‐initiating the R&D process within individual utilities. The purpose of this paper is to focus on R&D portfolio management efforts of various actors from different industrial sectors, to find out the best practices by using benchmarking method.

The paper used case study approach and on‐site interviews as research methods.

The authors found that R&D management is in its infancy in the electric utility sector, while the methods established in the manufacturing sector are applicable there.

This study is exploring R&D management in the electric utility sector and contributes to the service innovation research stream.

The purpose of this paper is to provide a management tool to maximise the effective time-to-market of a portfolio given the competitive monitoring activities.

From the constant monitoring of competition and market needs, it is proposed to define a time-to-need, time when the market may consume the product under development and competitor will not provide a solution before. This time-to-need is proposed to be defined by an expert committee in a periodical meeting of the portfolio. Once it is identified the time-to-need and the time-to-market (project management), it is possible to manage resources in order to maximise the portfolio outputs.

The application of the mentioned approach in an automotive industry showed improvements on number of launched new products per year (double) and on number of patented product launched (four times more).

This approach applies on projects of medium to long term (more than two years) because the resource management can consume set up time. The presented results in this work were based in a single case, which can limit the expected results of the application of this methodology.

This approach enables a constant alignment among experts and a better deployment of resources.

This work provides a practical tool to promote better resource allocation in a portfolio. It can also be an enabler of innovation projects once it finds resources potential to fund the more front end work.

The purpose of the research presented is to analyse and discuss critical challenges related to the development of a production system portfolio.

The study employs a longitudinal case study of an industrialization project at a global supplier in the automotive industry.

This research makes two clear theoretical contributions. First, it extends the existing research on the manufacturing and R&D interface by proposing an innovative structure for production system development facilitating manufacturing companies in their efforts of being fast and cost-effective when introducing new products to the market. Second, this research identifies challenges related to the adoption of a production system portfolio and the necessary actions of a manufacturing company applying such a portfolio strategy.

The findings should be seen as a first attempt at assisting the development of a production system portfolio that matches the product portfolio. However, since the findings are based on only one case, the findings are to some extent context-specific and thus need to be complemented by more research.

The research unveils challenges related to production system development and provides managers with a better understanding of some of the implications of the adoption of a portfolio strategy.

This empirical study is among the first to explore the implications of a production system portfolio strategy. It advances the understanding towards a fully integrated product and production system development.

The success of any organization in a knowledge-based economy depends on effective knowledge transferring and then proper use of the transferred knowledge. As is known, optimizing the knowledge transferring costs in a product portfolio plays an important role in improving productivity, competitive advantage and profitability of any organization. Therefore, this paper aims to determine an optimal product portfolio by minimizing the konlwedge transferring costs.

Here, a fuzzy binary linear programming model is used to select an optimal product portfolio. The model is capable of considering the knowledge transferring costs while taking into account the human-hours constraints for each product by a fuzzy approach. Using fuzzy ranking functions, a reasonable solution of the model can be achieved by classical or metaheuristic algorithms.

Numerical experiments indicate that the proposed fuzzy model is practically effective.

The contributions of this work essentially consist of considering knowledge transferring costs in selecting an optimal product portfolio and using the fuzzy data which make the model more realistic.

The purpose of this paper is to analyse current challenges and to articulate the preconditions for data-driven, fact-based product portfolio management (PPM) based on commercial and technical product structures, critical business processes, corporate business IT and company data assets. Here, data assets were classified from a PPM perspective in terms of (product/customer/supplier) master data, transaction data and Internet of Things data. The study also addresses the supporting role of corporate-level data governance.

The study combines a literature review and qualitative analysis of empirical data collected from eight international companies of varying size.

Companies’ current inability to analyse products effectively based on existing data is surprising. The present findings identify a number of preconditions for data-driven, fact-based PPM, including mutual understanding of company products (to establish a consistent commercial and technical product structure), product classification as strategic, supportive or non-strategic (to link commercial and technical product structures with product strategy) and a holistic, corporate-level data model for adjusting the company’s business IT (to support product portfolio visualisation).

The findings provide a logical and empirical basis for fact-based, product-level analysis of product profitability and analysis of the product portfolio over the product life cycle, supporting a data-driven approach to the optimisation of commercial and technical product structure, business IT systems and company product strategy. As a virtual representation of reality, the company data model facilitates product visualisation. The findings are of great practical value, as they demonstrate the significance of corporate-level data assets, data governance and business-critical data for managing a company’s products and portfolio.

The study contributes to the existing literature by specifying the preconditions for data-driven, fact-based PPM as a basis for product-level analysis and decision making, emphasising the role of company data assets and clarifying the links between business processes, information systems and data assets for PPM.