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Presents an exploratory study on travel agents’ attitudes towards automation. Surveys 167 travel agents from both Canada and New Zealand. Shows that there are four distinct groups of agents whose attitudes towards automation differ quite substantially and that these attitudes are related not so much to current use of technology but more to perceived future usage.

The purpose of this paper is to identify the influence of future anticipation toward the development of brand relationship which finally creates brand loyalty. Brand loyalty has fascinated a number of researchers to conduct studies for so many years; however, its relationship with future anticipation has remained untouched by academia.

This study proved the proposed conceptual model using structural equation modeling. The empirical approximated for the main-effects model and model goodness of fit indexes. The results signified a good fit of the data to our conceptual model in both samples.

The research shows that the influence of future anticipation is very essential in creating a brand relationship, autobiographical memory or even market performance and all in Asia; also Europe has similar significance with regard to this matter. Thus, it is important for companies to emphasize the importance of future anticipation and also delivers or informs it well to customers to create a positive perception in customers’ mind.

Future anticipation concept is anchored in philosophy theory and psychology. With respect to the study objectives, the focus is on the perspective of time which refers to thought and attitude toward past, present and future. In exploring what kind of behavior is related with future, the authors views are based on the futurology, a concept from sociology that studies generalizations about the nature of prediction. Blending these two theories, the authors elaborate a conceptual framework for the study of future anticipation and brand loyalty.

The contemporary organizations invest a lot of funds to gain a better understanding of the emerging needs of customers in near future. However, customers sometimes do not appreciate these hard efforts which lead to some unanticipated results for the firm. The purpose of this paper is to identify the customers’ perceptions about the future anticipatory measures done by a company.

The authors employed triangulation of methods to develop credibility of techniques and the findings of this qualitative research study. A semi-structured interview with six participants is used to explore the phenomena. After the authors gained a better understanding about the phenomena, a focus group discussion with eight participants was held to gain a better understanding of perceptions of future. Finally, the digital ethnography was employed to better explore customer behavior.

The results show that future anticipatory efforts conducted by a company are highly appreciated by the customers. This, in turn, builds a positive autobiographical memory for customers that lead to the development of a brand relationship.

The application of futurology to study within a marketing context and the employment of autobiographical memory are unique products of this study.

The purpose of this study is to propose a measure for earned attention and a model and procedure for the maximization of earned attention by a company over a period of time.

Utility functions are used as the base of the earned attention measure. An evolutionary algorithm – a memetic algorithm – is applied to identify strategies that aim to maximize earned attention. Computational analysis is performed resorting to simulated data, and the memetic algorithm is assessed through the comparison with a standard steepest ascent heuristic.

The shape of the utility functions considered in the model has a huge impact on the characteristics of the best strategies, with actions focused on increasing a single variable being preferred in case of constant marginal utility, and more balanced strategies having a better performance in the case of decreasing marginal utility. The memetic algorithm is shown to have a much better performance that the steepest ascent procedure.

A new mathematical model for earned attention is proposed, and an approach that has few applications in business problems – a memetic algorithm – is tailored to the model and applied to identify solutions.

This study delves in the controversy about the nature and the sign of the effect of strategic alliances and exploration and exploitation capabilities on innovation and new product development. The paper analyses the effects of knowledge sharing and strategic alliances relationships at the firm level. Specifically, we study the influence of strategic alliances relationships in new product development and the mediating role of exploration and exploitation as dynamic capabilities.

This investigation proposes a theoretical model tested using structural equation modeling (SEM). The multigroup analysis was performed to understand the moderating role of. A questionnaire survey was developed to explore the relations between strategic alliances and innovation and new product development variables. For this study, 387 valid questionnaires were collected from a sample of Portugal SME' firms. A 90-item questionnaire was submitted to employees managers of a large number of Portuguese SMEs, which consists to study the relationships among all the variables.

The results show that exists a positive direct influence of strategic alliances on innovation and new product development, and mediating impact the exploration and exploitation by the moderating role of knowledge sharing.

This study has some methodological limitations affecting its potential contributions. A cross-sectional study that captures one image in time and its ability to identify strict causality between variables is limited. Furthermore, the results are based on log collected from a key respondent, rather than broader actual data. The results are restricted to one country, Portugal. Future research should initially target different countries. Such research could then test the generalizability of the results.

To fill this managerial relevance gap, we propose a process model in which the main antecedents of alliance stability will be examined. We argue that an alliance's evolutionary dynamics depend on these factors and variables that the partners must assess and manage over its developmental stages. In this sense, managers have significant scope to influence the ultimate success of strategic alliances. This study highlights the need to actively manage the cooperation – competition (coopetition) tension with the alliance partner and to apply the knowledge acquired from the partner to create new knowledge to enhance innovative performance

This paper contributes to fill the gap between strategic alliances and new product development mediated by exploration and exploitation in the dynamic capabilities view.

Introduces a model which posits a crucial role for the evaluation of bank customers’ attitudes towards both human tellers and automated banking in mediating the ease of banking factor/perceived satisfaction linkage. The model’s explicit consideration of the effects of bank customer attitudes towards human tellers and automation provides additional explanatory power regarding how the perceived trend towards ease of banking influences bank customer overall satisfaction, switching and loyalty behaviour. A linear structural relations methodological approach is used for the modelling process.

Originates from a research project which aims to investigate the potential for “intelligent” computer models as decision‐support tools, with particular emphasis on strategic analysis. Describes field work carried out with the intention of validating the working models which have been developed. The fieldwork produced a number of useful suggestions whereby the particular model could be enhanced, as well as demonstrating the potential for applying intelligent models in practice.