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Engaging with customers and addressing unmet value have become increasingly challenging within multi-stakeholder environments of service innovation. Therefore, this paper aims to address this challenge by studying how strategic design abilities address unmet value in service engagement strategies.

The authors conducted a qualitative inductive study at a multinational corporation and interviewed marketing and design professionals on their innovation practices in service engagement strategies.

From the inductive analysis, this study identified three strategic design abilities that effectively contribute to addressing unmet value throughout the co-evolving process of service engagement: envisioning value, modelling value and engaging value. Based on this, this study proposes the emerging co-evolving loop framework of service engagement strategies.

The limitation of this emerging theory is a lack of broad generalizability with mutual exclusivity or collective exhaustiveness across industries. A theoretical implication of the framework is the integration of strategic design and services marketing towards co-created engagement strategies.

The service engagement loop framework can be of great value to service innovation processes, for which an integrated, cross-functional approach is often missing.

The findings further suggest that next to a methodological skillset, strategic design abilities consist of a distinct mindset.

This paper introduces strategic design abilities to address unmet value and proposes a novel co-evolving loop framework of service engagement strategies.

Multiple attribute decision making (MADM) is a conceptual agenda used for evaluation and selection of optimal nanofluid to assure best performance of heat exchanger. Most of the studies focus on nanofluids focus on individual ability at one time. Relatively, not even a single study is available for selection of nanofluid for heat exchanger using concurrent design and MADM approach. The purpose of this paper is to propose a concurrent design methodology using MADM approach to assist improved design of heat exchanger concurrently for all the x-abilities in an integrated manner.

A combined methodology of applying MADM approach using concurrent design for x-abilities is called CE-MADM approach. Implementation of nanofluid to improve thermal performance of heat exchanger entails thorough evaluation of nanofluids in various x-abilities (performance, maintenance, thermophysical properties and modelisation) to make exhaustive management decision. Sensitivity analysis is also proposed to study the behaviour of height of variation of density, heat capacity, thermal expansion and thermal conductivity with varying particle volume fraction and variation of relative closeness of available alternates from ideally best possible solution.

MADM approach considering various x-abilities concurrently provide an approach for relative ranking of available nanofluids for optimum performance. Fishbone diagrams of all x-abilities are constructed to identify all the attributes and converge large number of attributes into single numerical index that are concurrently responsible for the cause thus saving time for easy evaluation, comparison and ranking by decision makers. Sensitivity analysis to demonstration height of variation of pertinent attributes with varying particle volume fraction. A MATLAB programming is established to execute calculations involved in the procedure.

This paper comprises a predictable and effective mathematical approach to improve design of heat exchanger with nanofluid bearing in mind all the required x-abilities concurrently. This combined approach of CE-MADM is never applied before in the field of nanofluid to predict best possible results in feasible conditions considering all the x-abilities. Sensitivity analysis is also presented from the assumed mathematical equations of thermophysical properties.

The purpose of this paper is to provide an insight into the relationship between students’ spatial ability and their university entrance score (Australian Tertiary Admissions Rank [ATAR]). The ATAR provides entry into university studies but does not necessary provide a good measure of students’ spatial skills. Spatial abilities are fundamental to success in many design courses. This paper aims to show whether the ATAR is a good predictor of spatial skills and considers the implications of this.

Students entering university design courses in architecture were tested three times during their first year using a three-dimensional (3D) Ability Test (3DAT), an online psychometric test of 3D spatial ability. The students’ results in 3DAT were then compared to students’ ATAR scores using a Pearson’s correlation test were also conducted to assess the relationship between ATAR and spatial performance.

There was no correlation between ATAR and spatial performance. Therefore, there was no relationship between an individual’s ATAR and their spatial performance upon entering university.

Participants were required to select their ATAR from ranges, i.e. 71-80, 81-90 and 91-100, which meant their exact ATAR was not recorded. This meant that the participants were clustered, making it difficult to establish a linear relationship that was a true reflection of the population.

Initiatives to support students entering design courses may be necessary to compensate for the range of spatial skills students possess when entering university because of their school experiences.

Individuals who have strong spatial skills are able to perform spatial problems faster and more efficiently than those with weak spatial skills. High spatial performance has been shown relate to performance in areas such as mathematics science technology and design.

This paper fulfils the need to better understand the diversity of spatial abilities students have on entering design courses.

The purpose of this paper is to advance the current understanding of organisational conditions that facilitate service design. Specifically, the focus is on organisational capabilities, interactive practices and individual abilities as units of analysis across service system levels. Grounded in design principles, the paper conceptualises and delineates illustrative service design conditions and introduces a respective service design capability-practice-ability (CPA) portfolio. In doing so, an emerging microfoundations perspective in the context of service design is advanced.

Conceptual paper.

This paper identifies and delineates a CPA that contributes to service design and ultimately customer experiences. The service design CPA consists of six illustrative constellations of service design capabilities, practices and abilities, which operate on different organisational levels. The service design CPA builds the foundation for in-depth research implications and future research opportunities.

The CPA framework suggests that if an organisation seeks to optimise service design and subsequent customer experiences, then individual- and organisational-level (cap)abilities and interactive practices should be optimised and synchronised across specific CPA constellations.

This paper provides the first microfoundations perspective for service design. It advances marketing theory through multilevel theorising around service design capabilities, practices and abilities and overcomes extant limitations of insular theorising in this context.

Improving the prediction accuracy of design time for complex products is significant for improving the accuracy of product development and control plans. The purpose of this study is to propose an intelligent pre-estimation method of design time for complex products based on v-SVM.

First, an evaluation model for designer knowledge abilities based on v-SVM is built, which considers the fuzziness and dynamics of designer knowledge abilities. Next, a pre-estimation method for the design time of complex products based on v-SVM is built. This method takes into account the impacts of designer knowledge abilities and design task characteristics on the design time. Then, an adaptive genetic algorithm is programmed to optimize the parameters in the evaluation model and the pre-estimation method. Finally, a practical application and comparative analysis of the proposed pre-estimation method is suggested to verify the validity and applicability of this research.

First, the evaluation of designer knowledge abilities is a prediction problem that is both fuzzy and multivariate time series. Second, the pre-estimation of design time is a problem that is fuzzy and multivariate. Third, the pre-estimation accuracy of the proposed method is higher when compared with traditional methods.

This paper presents an intelligent pre-estimation method of design time for complex products. Unlike previous research, the pre-estimation method takes into account the impacts of both the designer knowledge abilities and the design task characteristics on the design time.

This study seeks to understand the factors and orientations that are relevant to preservice teachers' (PSTs) beliefs about their ability to design lessons for inquiry-based K-6 social studies instruction.

Seventy elementary PSTs participated in a series of inquiry-based learning activities in a social studies methods course. The study uses exploratory factor analysis, a quantitative method to explore teacher self-reported efficacy for designing inquiry lessons.

The findings revealed that three capabilities related to design are relevant to elementary social studies PSTs' self-efficacy for designing inquiries: lesson design competence, lesson design disposition and lesson design practices. Most PSTs expressed low self-efficacy in all three capabilities. PSTs with a higher disposition for designing inquiry lessons may show a strong sense of self-efficacy for inquiry-based curricula design and practice in elementary social studies education.

The article discusses the importance of understanding PSTs sense of efficacy and categories of such self-efficacy beliefs at the level of lesson design within the context of teacher education. It discusses the need for teacher educators to facilitate educationally sound critical reflection on lesson design skills, disposition and practices that foster PSTs' sense of ability to teach via inquiry in elementary classrooms.

The purpose of the present study is to examine the effectiveness of tourist shuttle bus advertising for the corporate brand image of gaming and hospitality operators.

Grounded in the theoretical framework of Message Response Involvement (MRI) theory, a multilevel design with hierarchical modeling was adopted to examine the hypothesized paths between consumers’ message processing components and corporate brand equity. The moderating effects of shuttle bus design were also investigated. The data were collected via a self-administered questionnaire from 595 tourists visiting Macao.

The results indicated that advertising effectiveness (i.e., corporate brand equity) was largely dependent on consumers’ motivation and ability to process information. When design was included as a moderator, it enhanced the influence of consumers’ motivation to process information on advertising effectiveness.

The findings highlight the importance of tourist shuttle buses as an advertising platform in the hospitality and gaming industry and depict important aspects of consumers and executional cues that corporations should focus on improving shuttle bus advertising effectiveness.

This study examines an underexplored, yet frequently used, advertising channel – the shuttle bus. Specifically, it offers a better understanding of transit advertising effectiveness from the corporate level (design) and individual level (consumers’ motivation, ability and opportunity) in the tourism and hospitality industry.

Firms use design capability across the globe to compete and increase sales, e.g. Apple. However, the payoff from design know-how has been overlooked thus far. Academic research lags in this space despite the intersection of sales, technology and design in practice. This paper provides researchers and managers with implications of the interplay between design capability and technological market conditions to enhance a firm's sales.

Firms' capability design, and sales impact have been studied in this paper across different technological market conditions. Primary technological conditions of the industry under which firms operate are captured, which are technological intensity (TI), technological competitive intensity (TCI) and technological maturity (TM). Their interplay has been studied using panel data analysis, examining fixed and random effects.

Design is an important, interesting and non-imitable capacity that yields positive firm execution results. It provides an urgent differentiator and improves deal development. This study found that all four hypotheses are generally supported. The main finding is that, provided underlying technology is good, design significantly improves sales, but design alone cannot substitute for poor technology.

The results of this study link the three technological environment conditions, namely, TI, TCI and TM with sales growth. The authors find that design can and does add to superior performance, provided technological excellence exists prior. But, in the absence of good technology, design alone will hinder performance.

This paper examines the effect of firm design capability on sales growth. The paper finds a positive moderating effect of TCI and TM but a negative moderating effect of TI. The researchers believe these aspects of the design have not been studied before.

The purpose of this paper is to determine whether noise is affected by psychological factors rather than simply by physical metrics. For example, personality type, age, perceived control and screening ability were explored, as well as the choice of primary workplace.

An online survey was conducted which resulted in 517 valid responses. The survey included the personality profiling along with questions related to noise and personal circumstances. The key noise metrics were perceived performance, ability to work, well-being and stress plus three noise indices: concentration, distraction and speech interference.

The survey revealed that personality type does affect noise perception, in particular extroversion and neuroticism. Perceived control, screening ability, age, workplace, design and focused work are also factors. Personal variables accounted for 25 per cent of the variance in the ability to carry out work, and for 40 per cent of the variance in concentration and speech interference.

Whilst statistically significant differences were found for most of the psychological and personal variables, the size of effect was smaller than anticipated. This is likely because the survey was carried out across a range or workplaces, rather than in a laboratory, with a number of uncontrolled extraneous factors.

The research has resulted in the development of a design guidance document for controlling noise distractions based on more psychoacoustic, people-centred, principles than purely physical ones.

Most acoustics research is conducted in the laboratory and focuses on the physical sound properties. This research took a psychoacoustic approach focusing more on psychological and personal factors, and was carried out in the real world.