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To provide an overview of research published in the management accounting literature on methods for cost management in new product development, such as a target costing, life cycle costing, component commonality, and modular design.

The structured literature search covered papers about 15 different cost management methods published in 40 journals in the period 1990–2013.

The search yielded a sample of 113 different papers. Many contained information about more than one method, and this yielded 149 references to specific methods. The number of references varied strongly per cost management method and per journal. Target costing has received by far the most attention in the publications in our sample; modular design, component commonality, and life cycle costing were ranked second and joint third. Most references were published in Management Science; Management Accounting Research; and Accounting, Organizations and Society. The results were strongly influenced by Management Science and Decision Science, because cost management methods with an engineering background were published above average in these two journals (design for manufacturing, component commonality, modular design, and product platforms) while other topics were published below average in these two journals.

The scope of this review is accounting research. Future work could review the research on cost management methods in new product development published outside accounting.

The paper centers on methods for cost management, which complements reviews that focused on theoretical constructs of management accounting information and its use.

In recent years, the updating speed of products has been significantly accelerated, which not only provides diversified styles for consumers to select from but also makes consumers face selection problems sometimes. In addition, a large number of online reviews for products emerge on many e-commerce websites and influence consumers’ purchasing decisions. The purpose of this study is to propose a method for product selection considering consumer’s expectations and online reviews to support consumers’ purchasing decisions.

The product attributes are divided into two categories, i.e. demand attributes and word-of-mouth (WOM) attributes. For the demand attributes, for which the consumers can give specific quantified expectations, the value function of prospect theory is used to determine the consumer’s perceived values to the alternative products according to consumers’ expectations for these attributes and products’ specifications. For the WOM attributes, for which the consumers cannot give specific quantified expectations, the sentiment analysis method is used to identify the sentiment strengths for these attributes in the online reviews, and then the consumer’s perceived values to the alternative products are determined. On this basis, the product selection methods for single consumers and group consumers are given respectively.

Finally, taking the data of JD.com (https://www.jd.com/) as an example, the practicability and rationality of the method proposed in this paper is validated.

First, a new product selection problem considering consumer’s expectations and online reviews is extracted. Second, the product attributes are considered more comprehensively and are classified into two main categories. Third, the bounded rationality of the consumers in the decision-making process is described more reasonably. Fourth, the sentiment dictionaries for each WOM attribute are constructed and the algorithm step of identifying the sentiment strengths is designed, which can help to identify the sentiment strengths in the online reviews more accurately. Fifth, the situation that a group plans to purchase the same products and the members have inconsistent expectations for the product attributes is considered.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

Logic function representations play an important role in logic design and computer design, as well as VLSI design. There are many ways to represent a logic function. Presents and classifies 11 representation methods into “unique representation category” and “non‐unique representation category”. History of these methods is also briefly mentioned. There are three non‐unique representation methods: Boolean expression;sum of products; and product sums, and eight unique representation methods: truth table; canonical sum of products; canonical product of sums; sum of minterms; product of maxterms; Karnaugh map; Boolean lattice; and Venn diagram. A theorem is found which states that Boolean expression, sum of products, product of sums, sum of minterms, product of maxterms, and Karnaugh map, form a lattice structure. The results may have useful applications in knowledge representation, pictorial knowledge representation and other related areas.

There is always a matching effect in advertising persuasion – the information that matches product characteristics or target consumer characteristics is considered to be relatively more persuasive. Based on the accessibility-diagnosability theory, this paper discusses the influence of the matching degree between the information presentation (vague description and precise description) and product attribute (vertical attribute and horizontal attribute) on people's attitudes toward advertising.

Study 1 aims to explore the impact of the matching effect of different information presentation methods (precise presentation vs vague presentation) and product attribute (horizontal attribute vs vertical attribute) on consumers' attitudes toward advertising; secondary data was used to support this research. Study 2 mainly used the situational simulated experiment to examine the results of study 1, and further explored the mediating mechanism of its matching effect.

The authors found that the matching degree between the information presentation method and product attribute will positively affect the fluency of advertising information processing, that is, the use of vague description of product vertical attribute can positively affect consumers' extraction fluency; while the use of precise description of product horizontal attribute can positively affect consumers' processing fluency, and both extraction fluency and processing fluency will positively affect consumers' attitude toward the advertisement.

An essential enlightenment of the research is that it sheds light on the interaction between product attribute (vertical attribute vs horizontal attribute) with the information presentation method (vague description vs precise description) from the perspective of accessibility-diagnosability theory, which explains consumers' information processing mechanisms in dealing with different advertising information.

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

In every manufacturing company, irrespective of size, product and other variables, management are constantly involved in quality‐related decisions which have a direct effect on product quality. An analytical method is described for assessing an organisation's approach to quality management. On application, managers are provided with information on the reality of their quality assurance activities. An overview of some of the issues involved in decision making is provided, followed by an outline of the research methodology, and, finally, the “method” is presented with some results arising from its application.

The purpose of this paper is to quantify external and internal uncertainties in product design process. The research addresses the measure of product future changes.

Two methods are proposed to model and quantify uncertainty in the product life cycle. Changes of user preferences are considered as the external uncertainty. Changes stemming from dependencies between components are addressed as the internal uncertainty. Both methods use developed mechanisms to capture and treat changes of user preferences. An agent-based model is developed to simulate sociotechnical events in the product life cycle for the external uncertainty. An innovative application of Big Data Analytics (BDA) is proposed to evaluate the external and internal uncertainties in product design. The methods can identify the most affected product components under uncertainty.

The results show that the proposed method could identify product changes during its life cycle, particularly using the proposed BDA method.

It is essential for manufacturers in the competitive market to know their product changes under uncertainty. Proposed methods have potential to optimize design parameters in complex environments.

This research bridges the gap of literature in the accurate estimation of uncertainty. The research integrates the change prediction and change transferring, applies data management methods innovatively, and utilizes the proposed methods practically.

The purpose of this paper is to present a new method for ranking authentication products. Using this method, issues such as technical performance, application/system‐specific requirements, cost and usability are addressed. The method simplifies and makes the selection process more transparent by identifying issues that are important when selecting products.

The paper used quantitative cost and performance analysis.

The method can be widely applied, allowing the comparison and ranking of an extensive variety of authentication products (passwords, biometrics, tokens). The method can be used for both product selection and the process of product development as supported by the case studies.

This is a work that demonstrates how to compare authentication methods from different categories. A novel ranking method has been developed which allows the comparison of different authentication products in a defined usage scenario.

In recent years, scholars have devoted increasing attention to the use of methods in new product development. Although their positive impact on product success has been confirmed by a series of studies, little research has so far been conducted into the determinants of the successful method application. The purpose of this paper is to analyze two key determinants for the successful use of methods.

The paper adopts a structural equation modeling approach and analyzes the subject based on a large empirical sample of 410 product development projects.

The way the new product development process is formalized and the extent of top management support have a significant influence on the successful application of methods. Both factors lead to the use of more methods overall and drive the more thorough and intensive deployment of the specific methods used.

The paper shows how firms that are seeking a more methodical approach to new product development can consciously create the right determinants for the successful adoption of methods and by doing that can increase the success rate of their new product development activities.

This research adds to the literature on success factors of new product development in two distinct ways. First, the paper investigates the subject at the level of specific product development projects, based on a large empirical sample and using a structural equation modeling approach, for the first time. Second, the methods investigated were chosen in a systematic, multi step process in which the methods used by several functions involved in new product development were taken into account.