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This study aims to introduce the duration of uniqueness, an important dimension of unique products. It studies how choices between products with long versus short duration of uniqueness are influenced by the interaction between pressure and consumers’ need for uniqueness (NFU).

This research uses a multi-method study approach. A pilot field-study tested the novelty and importance of the research by asking retail professionals to predict the choice of a hypothetical consumer. A retrospective study assessed the importance of duration of uniqueness in unique product choices, by asking consumers about a real and recent unique product purchase. Four additional experimental studies directly tested hypotheses by manipulating pressure and by measuring or manipulating uniqueness motivations.

The pilot field-study showed the novelty and relevance of this research for professionals. Study 1 revealed that, retrospectively, uniqueness duration was considered important for the choice of unique products, by high-NFU consumers under pressure. Studies 2 and 3 demonstrated that pressure increases the tendency of high-NFU, but not low-NFU, consumers to choose products with long over short uniqueness duration. Study 4 provided initial evidence for the process behind the effect. Study 5 showed that considerations of uniqueness duration when choosing mediated the effects.

The results of the pilot field-study and retrospective study might be affected by recall bias or lay theories. The findings need to be replicated with other sources of pressure and uniqueness. This calls for further research.

Results are important for companies marketing unique products and they suggest that pressure-based marketing appeals can be used strategically to increase sales of products with long uniqueness duration but decrease sales of products with short uniqueness duration. Although the research provides these guidelines, managers should consider the ethical implications of pressure strategies.

This is the first attempt to empirically investigate the duration of uniqueness. Although extant research has examined choices between products with different degrees of uniqueness, this research studies choice of products with similar degrees of uniqueness, but different uniqueness duration. Thus, this research adds to the scarce literature studying the duration of symbolic benefits. Moreover, although pressure and NFU frequently co-exist in uniqueness consumption settings, this study is the first to study their joint effects.

Long-duration spaceflight missions require many hours of pre-mission and inflight training to develop and maintain team skills. Current training flows rely heavily on expert instructors, while current inflight mission operations are supported by a complex series of support teams at Mission Control. However, future exploration space missions will not have real-time communications with ground-based experts at Mission Control. Portable intelligent tutoring systems may help streamline future training, reducing the burden on expert instructors and crew training time, and allowing for inflight support to mitigate negative effects of the loss of real-time communications. In this chapter, we discuss the challenges of long-duration exploration missions, and outline the myriad possibilities in which intelligent tutoring systems will enhance the crew performance and functioning.

The literature includes a vast amount of research on both innovation and business networks; however, the empirical knowledge of their intersection – innovation networks and their management – is still scarce. This empirical study aims at increasing the knowledge of management of innovation networks by mapping characteristics of management approaches of two case companies. These companies operate in the software business and develop their products in inter‐organizational networks. Special attention is paid to differences in the management approaches between the case companies.

The present empirical article is based on analysis of two case companies representing very different and contrasting approaches to management of innovation networks. The empirical study is conducted among SMEs in the software business.

As a result of the analysis, several aspects of management of innovation networks are identified and their nature explained. These aspects are: duration of the network; rewards from the network; fundamental meaning of the network; the nature of the networked organization; planning, control, and trust; and hierarchies, authority, and coordination. These aspects are powerful in mapping and explaining the characteristics of innovation network management.

Various management practices are suggested and discussed in the context of each of the identified aspects of innovation network management.

The purpose of this paper is to study the evolution of a system stationary availability and determine the optimal preventive maintenance period, which maximises it in a context where preventive and corrective maintenance actions are imperfect and have non‐negligible durations.

The quasi‐renewal process approach and a (p, q) rule are respectively used to model corrective and preventive maintenance. Considering the durations of the preventive and corrective maintenance actions as well as their respective efficiency extents, a mathematical model and a numerical algorithm are developed in order to compute the system stationary availability.

It has been proven that for any given situation regarding the system, the repair and preventive maintenance efficiency extents, and the downtime durations for preventive and corrective maintenance, there is necessarily a finite optimal period T* of preventive maintenance which maximises the system stationary availability. A sufficient condition for the uniqueness of the optimal solution has also been derived. Numerical examples illustrated how preventive and corrective maintenance efficiency extents affect simultaneously the system optimal availability.

The study considers a general industrial framework where preventive and corrective maintenance actions are imperfect. In fact, neither the best‐qualified technicians nor the most suitable tools or spare parts are found to carry out maintenance actions. In such a context for a large variety of technical systems, when implementing preventive maintenance policies one should take into account the efficiency extents of maintenance actions as well as their durations in order to evaluate and optimise the system availability. The paper provides maintenance managers with a decision model allowing not only the computation and optimisation of system availability, but also the investigation of how preventive and corrective maintenance efficiency extents affect simultaneously the system optimal availability. The proposed model also allows one to find to what extent corrective actions ineffectiveness should be tolerated without having an important availability loss.

The paper proposes a modified formulation of the quasi‐renewal process taking into account the non‐negligible duration of corrective maintenance actions and periodic preventive maintenance. A new numerical algorithm is also developed in this context to compute the quasi‐renewal function that it is impossible to find in closed form. This allowed the computation and optimisation of system stationary availability.

This paper aims to examine selected similar Greek highway projects to create artificial neural network-based models to predict their actual construction duration based on data available at the bidding stage.

Relevant literature review is presented that highlights similar research approaches. Thirty-seven highway projects, constructed in Greece, with similar type of available data, were examined. Considering each project’s characteristics and the actual construction duration, correlation analysis is implemented, with the aid of SPSS. Correlation analysis identified the most significant project variables toward predicting actual duration. Furthermore, the WEKA application, through its attribute selection function, highlighted the most important subset of variables. The selected variables through correlation analysis and/or WEKA and appropriate combinations of these are used as input neurons for a neural network. Fast Artificial Neural Network (FANN) Tool is used to construct neural network models in an effort to predict projects’ actual duration.

Variables that significantly correlate with actual time at completion include initial cost, initial duration, length, lanes, technical projects, bridges, tunnels, geotechnical projects, embankment, landfill, land requirement (expropriation) and tender offer. Neural networks’ models succeeded in predicting actual completion time with significant accuracy. The optimum neural network model produced a mean squared error with a value of 6.96E-06 and was based on initial cost, initial duration, length, lanes, technical projects, tender offer, embankment, existence of bridges, geotechnical projects and landfills.

The sample size is limited to 37 projects. These are extensive highway projects with similar work packages, constructed in Greece.

The proposed models could early in the planning stage predict the actual project duration.

The originality of the current study focuses both on the methodology applied (combination of Correlation Analysis, WEKA, FannTool) and on the resulting models and their potential application for future projects.

This paper aims to investigate the mediating effect of brand love on purchase intention and word-of-mouth through mystery, sensuality and intimacy as brand image dimensions in the context of neo-luxury brands. It also explores the moderating effect of duration and intensity of consumer-brand relationships on brand image dimensions.

The data collection was done via an online survey of a representative group of Millennials. Data analysis was performed using structural equation modeling and multi-group analysis.

The paper suggests that brand love mediates the relationship between brand image, purchase intention and word-of-mouth for both Apple and Michael Kors brands. This study also identifies differences in the effects of intimacy, sensuality and mystery on brand love. Additionally, it is demonstrated that the moderation effect of intensity and duration of consumer-brand relationships varies among the two neo-luxury brands.

Further research should aim at investigating other categories of products and services in the field of neo-luxury, as this study focus on fashion and mobile brands. Other antecedents and outcomes of brand love should also be evaluated, as well as other moderating variables.

This paper contributes to the fast-growing consumer-brand relationships literature by exploring the role of brand love in the context of the emergent neo-luxury paradigm. It also intends to provide a better understanding of how to build and nurture an effective brand image through a multidisciplinary approach that combines mystery, sensuality and intimacy.

The purpose of this study is to propose and model an inspection and preventive maintenance policy for randomly failing systems that alternate operating and idle periods according to their mission profile.

A maintenance policy is defined and modeled mathematically. The paper focuses on finding the age T for inspection which maximizes the stationary availability of the system.

Except for the case of only self‐announcing failures, there always exists a finite optimal strategy T*. Two sufficient conditions for the uniqueness of such an optimum are also derived.

Many productive systems alternate operating and inactive periods, their failures may be self‐announcing or not self‐announcing (detected only through inspection). This paper presents a maintenance strategy for such systems in order to maximize their stationary availability. The proposed strategy suggests submitting the system to inspection when its age reaches T units of time.

This paper states a general expression of the system stationary availability which is considered as the performance criterion. Conditions of existence and uniqueness of an optimal strategy are developed.

Retailer-brand collaborations (e.g. Target–Lilly Pulitzer) attract media attention and generate excitement, and may encourage buying the product right away rather than waiting until a sale. To clearly establish factors that contribute to consumers' urge to purchase retailer-brand collaborations, the purpose of this study is to test the effects of: (1) collaboration duration (limited edition vs ongoing) and (2) perceived retailer-brand fit (high vs low) on consumers' urgency to buy.

Three experimental studies (n = 499) manipulate and test the effect of collaboration duration (Study 1), perceived retailer-brand fit (Study 2) and the combined effect (Study 3) on consumers' urgency to buy.

Findings indicate that urgency to buy retailer-brand collaborations are favourable when products are offered as limited edition versus ongoing (Study 1), when there is high-perceived fit versus low-perceived fit between retailer and brand partners (Study 2) and when both conditions are true (Study 3).

To enhance consumers' urgency to buy retailer-brand collaborations, the partnerships should be limited in duration (vs collaborating in an ongoing fashion). Additionally brands and retailers need to strategically align with well-fitting partners.

Despite the prevalence and success of retailer-brand collaborations in industry, research on such collaboration is surprising scant. Additionally, while previous studies often measure purchase intentions as consumers' response, an understanding of factors that discourage consumers from delaying their purchase (i.e. factors that lead to urgency to buy) help to identify strategies to cultivate greater profits.

Many fashion brands employ growth strategies that involve strategically aligning with a retailer to offer exclusive co-brands that vary in duration and perceived fit. While growth and publicity are enticing, pursuing collaboration may change consumers' evaluation of the brand. Utilising commodity and categorisation theory, this research tests how a brand may successfully approach a co-brand with a retailer.

Three experimental studies manipulate and test the effect of co-brand duration (limited edition vs ongoing) (Study 1), the degree of brand-retailer fit (high vs low) (Study 2), and its combined effect (Study 3) on changes in consumers' brand evaluation.

Results reveal that consumers' evaluations of brands become more favourable when: (1) brand-retailer co-brand make products available on a limited edition (vs ongoing) basis (Study 1), (2) consumers perceive a high (vs low) degree of brand-retailer fit (Study 2) and (3) both conditions are true (Study 3).

In light of commodity and categorisation theory, this study helps to understand the effectiveness of a brand-retailer co-branding strategy.

To increase brand evaluations, brands should engage in a limited edition strategy, rather than ongoing when collaborating with retailers. It is also important to select an appropriately fitting retailer for a strategic partnership when creating a co-brand.

While previous studies highlight the importance of perceived fit upon extension, perceived fit between brand and retailer co-brand had yet to be investigated. Additionally, this research investigates changes in brand evaluations to more accurately understand how co-branding strategies impact the brand.

The purpose of this paper is to investigate the moderating role of workplace spirituality (WS) in the relationship between team transformational leadership (TTL) and team viability (TV) under the theoretical lens of the theory of optimal distinctiveness of identities.

This study adopted quantitative, cross-sectional research design at the team level of analysis among 141 software development project teams that belonged to 22 information technology (IT) organizations in the Indian IT sector to evaluate the effect of TTL behavior on TV under the conditional presence of WS.

This research has found empirical evidence to show that TTL is positively associated with TV or the team members’ desire to be a part of future performance episodes of their team. However, this research has shown that the relative effect of WS on the relationship between TTL and TV is weaker in those teams that experience higher levels of WS than those teams that experience lower levels of WS.

This research’s originality exists in its team-level conceptualization of WS, a gap in prior research addressed by this paper, in order to evaluate the interactive effects of team-level conceptualizations of transformational leadership and WS on TV. Further, this paper’s originality stems from the explanation of TV as the result of desirable balance between team members’ needs for within-team inclusion and within-team differentiation.