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The purpose of this study is to propose a model of a value cocreation strategy (VCS) for analyzing how enterprises adopt innovative, marketing, and design strategies to achieve their performance goals through cocreation.

In the present study, a case study was conducted to establish a preliminary model. Subsequently, 1,000 NPD project managers in information and communications technology industries were approached to complete a two-stage questionnaire survey. The first survey investigated the VCSs they adopted for their marketing, innovation and design activities (valid questionnaires recovered=283). The valid respondents completed a second survey measuring their NPD performance 18 months after launching a new product (valid questionnaires recovered=247).

A conceptual was constructed to explain the effects of innovation marketing and design cocreation strategies on NPD performance. A partial least squares method was used to test the model showing a good fit between the model and the survey data, indicating the applicability of the proposed model. The innovation marketing and design cocreation strategies of the enterprises affected their NPD performance. Enterprises adopting diverse cocreation strategies improved their NPD performance. The cocreation strategies in the model were independent and mediating variables to NPD performance. A qualitative comparative analysis was performed to examine which strategy configurations affected NPD performance and to explore any regular patterns in them. Finally, a cluster analysis was conducted to investigate four cocreation strategies: market development, technology improvement, cost direction and customer service.

Whether different industry categories involve different characteristics and whether different corporate cultures cause inconsistent result in value cocreation warrants further in-depth investigation. In addition, the two surveys conducted in this study were separated by 18 months, and thus, only the short-term NPD performance could be presented. Future studies are recommended to conduct an extensive exploration of different industries, administer long-term surveys, investigate the different levels of influence of various types of enterprise on the proposed research model or examine the degree of difference in the mechanisms and methods adopted for elevating innovation performance.

Enterprises can reference the proposed approach to optimize their product development and services according to their organizational resources and market advantages to increase their market coverage.

This study was the first empirical study to examine critical factors, such as product innovation, marketing, design and value cocreation strategies, and NPD performance by administering two-stage surveys. Enterprises can reference the proposed method according to their organizational resources and market advantages to develop products and services efficiently and face the ever-changing market.

Examines how sales managers can affect and improve salesforce performance. Describes the similarities and differences between high‐ and low‐performance salesforces and the ways in which sales management can create the opportunity for salespeople to perform well. Discusses research implications and offers management guidelines to improve the effectiveness of sales organizations.

Begins with a brief review of research in the area of performance, with particular emphasis on design and product development, highlighting the main weaknesses in work to date. Then presents a fundamental and generic model of performance, related to knowledge‐based activities in design, which describes performance in terms of its key elements, efficiency and effectiveness, and provides a basis for modelling performance across different process levels. Evolves this model further to describe performance measurement and management in design development. Concludes that it is not possible to distinguish the efficiency of the design activity from that of design management, and that, in addition, efficiency appears to be inherent to an activity, but is difficult to measure.

The purpose of this paper is to investigate how to measure collaborative design performance and, in turn, improve the final design output during a design process, with a clear objective to develop a design performance measurement (DPM) matrix to measure design project team members' design collaboration performances.

The methodology adopted in this research uses critical literature reviews, in‐depth focus group interviews and a questionnaire survey.

The main finding of this study is a DPM matrix that addresses five DPM indicators: efficiency, effectiveness, collaboration, management skill, and innovation, and 25 detailed DPM criteria. It was found that decision‐making efficiency is the most important DPM criterion for collaborative design efficiency; plus delivering to the brief for effectiveness; clear team goal/objectives for collaboration; decision‐making ability for management skill; and competitive advantage for innovation.

As the present study was focused on exploring DPM during a design process, some key DPM criteria which are not measurable during a design development process were not included in this study. The proposed multi‐feedback approach for DPM matrix implementation needs to be validated in future research.

The DPM matrix can be applied to support a design manager in measuring and improving collaborative design performance during a design process, by reviewing and modifying collaborative design development, identifying the design team strengths and weaknesses, improving team communication, and suggesting suitable responsive actions.

The major contribution of this study is the investigation and development of a DPM matrix to measure collaborative design performance during a design process.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

The extreme nature of fire makes structural fire engineering unique in that the load actions dictating design are intense and neither geographically nor seasonally bound. Simply, fire can break out anywhere, at any time and for any number of reasons. Despite the apparent need, the fire design of structures still relies on expensive fire tests, complex finite element simulations and outdated procedures with little room for innovation. This paper aims to discuss the aforementioned issues.

This primer highlights the latest state of the art in this area with regard to performance-based design in fire structural engineering. In addition, this short review also presents a series of examples of successful implementation of performance-based fire design of structures from around the world.

A comparison between global efforts clearly shows the advances put forth by European and Oceanian efforts as opposed to the rest of the world. In addition, it can be clearly seen that most performance-based fire designs are related to steel and composite structures.

In one study, this paper presents a concise and global view to performance-based fire design of structures from success stories from around the world.

In the performance measurement and management research field, the applicability of performance measurement systems (PMS) in nonprofit organizations (NPOs) and public administration has been considered a challenge. The diversity of these organizations makes it difficult to define proper terminology and organizational characteristics. PMS evolution has not yet been able to capture all performance dimensions of a public administration and, especially for NPO considering its dynamic and multiple goals. The purpose of this paper is to provide a conceptual framework that identifies and classifies the factors that influence the design of PMSs in NPOs and public administration.

The study was developed through a systematic literature review (SLR). A set of 29 papers were intensely studied, and the results provide a multi-disciplinary and holistic set of factors.

A set of ten factors that influence the design of PMSs in NPO and public administration were found. They were categorized into three groups: factor related to purpose, stakeholders and management.

The study synthesized the literature and provided a conceptual framework of the factors that influence the design of PMSs in NPO and public administration. No individual paper collected in the SLR shows a similar organization of the factors as the present paper. The set of factors indicates the importance of this study for NPO and public administration, and how complex a PMS in an NPO and public administration can become. The conceptual model presented can further assist practitioners in developing design process observing the role that the identified factors play.

Although the business model (BM) has become a top priority in management research, existing literature still offers a confusing and partial picture about how to leverage BM designs for new product development (NPD) because of two limitations. First, research has paid little attention to different BM designs' effects on NPD performance. Second, few empirical studies have examined the moderating roles of firms' learning capabilities, such as big data analytics capabilities (BDA capabilities). This study aims to investigate the effects of BM novelty design and BM efficiency design on NPD performance and the ways in which BDA capabilities moderate these effects.

A literature review provides the model and hypotheses. Using a sample of 208 Chinese firms, the authors conducted an empirical test following multiple regression analysis.

The results demonstrate that BM novelty design has a positive effect on NPD performance while BM efficiency design takes the form of an inverted U-shape. Moreover, BDA capabilities (i.e. BDA technology capability and BDA management capability) have complicated moderating effects on BM novelty design- and BM efficiency design-NPD performance relationships.

The results may be affected by both the context (solely in China) and type (cross-sectional) of the data set. This study has explored the moderating effects of BDA capabilities, further studies considering other significant practices such as social media usage, could yield richer insights that would help validate the results of this study.

First, we suggest that managers should be explicitly aware of the different impacts of BM novelty design and BM efficiency design on NPD performance. Second, this study encourages managers to build relevant BDA capabilities to work with BM designs to improve NPD performance.

This is one of the first studies to investigate BM designs' complicated influences on NPD success and explore BDA capabilities' moderating effects on the BM design-NPD performance linkage.

Notes limitations to measuring the performance of design activity in particular, and non‐production activities in general. First, validity and reliability in specific measures are strongly negatively correlated, making it hard to achieve both. Second, outcome measures are jointly determined by engineering design and other activities to varying degrees, and this problem of shared outcomes is only partly reduced by measuring at higher levels of aggregation. Third, there is no definite stopping rule for engineering design activity, yet unambiguous outcome measures rely on the existence of such a rule. Fourth, outcomes attributable to engineering design can sometimes only be measured a long time after completion of the activity, making them ineffective for most managerial purposes. There are also considerable problems in properly accounting for environmental variables. However, the use of performance measures have some benefits, e.g. correcting wrong inferences among engineering managers. Results point to the appropriate use of performance measurement in engineering design for raising questions and detecting discrepancies in performance at aggregate levels. They suggest that using measurement is inappropriate for managerial control, for attributing results to engineers or the environment, and for concluding problem solving activities.

Civil engineering projects around the world have been underperforming for a long time. While the complexity of these projects will continue to increase, there is an urgent need to perform better. Although the integrated design process is critical for project success, the literature lacks studies describing the link to project performance. Therefore, this study aims to investigate the dominant variables that affect the integrated design process and consequently project performance.

A multiple case study was conducted to determine the dominant variables that affect the integrated design process and project performance. The research included four projects. Semi-structured interviews were the main source of data.

The cases indicated that the extent to which an integrated approach is achieved in the design process is essential for project performance. This applies to the integration of stakeholders’ interests as well as the integration of disciplines. Above all, it was concluded that the project team participants’ competencies for integration are a dominant factor for project performance, as the integrated design process has changed from a technical challenge to an integrative one.

This study provides insights into the dominant variable of the integrated design process that affects project performance, which is underexposed in the literature. The study results reveal the importance of competencies related to integration and adoption of the design problem context, which are not yet included in civil engineering design methods. In this respect, empathy is introduced as a new and critical competence for the civil engineering industry, which needs further research.