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Purpose – Departure time choice not only depends on the desire to carry out activities at certain times and places; it is a complex decision making process influenced by travel conditions, congestion levels, activity schedules, and external trip factors. To estimate departure time choice models capturing the factors influencing it in appropriate form, a complex data collection procedure allowing to obtain detailed input data from different sources and at different time periods is required.

The main aim of this chapter is to describe and discuss the survey methodology we used in a time-of-day choice project, involving the collection of revealed preference (RP) and stated preference (SP) data to estimate hybrid discrete departure time choice models incorporating latent variables. Preliminary model results are also presented as an example.

Methodology/approach – Data was obtained from 405 workers at different private and public institutions located in the centre of Santiago, Chile. The survey process had three different stages and used various collection methods (e-mail, web-page, and personal interviews at the workplace) in order to satisfy efficiency, reliability and cost criteria.

The RP component survey design was based on the last origin-destination survey implemented in Santiago (i.e. a travel diary filled under an activity recall framework). Relevant level-of-service measures at different time periods were obtained from GPS data measured from instrumented vehicles in the public and private transport networks. A SP-off-RP optimal design considering dependence among attribute levels was also developed. Finally, several 1–7 Likert scale questions were included to incorporate the latent variables.

Findings – The survey methodology described in this chapter represents a successful experience in terms of collecting high quality data, from different sources, with the aim of estimating appropriate time-of-day choice models. The data collection process was carried out in different stages, by means of web pages, email, and personal interviews. The data was further enriched with level-of-service attributes measured at different times of the day with unusual precision. Preliminary results reported in this chapter show that data obtained through this methodology are appropriate to model time-of-day choices.

Originality/value of chapter – The novelty of the survey methodology described in this chapter is the collection of data of a different nature for time-of-day choice modelling through the integration of different collection techniques.

Acquisition of very precise information about preferred departure/arrival times, level of service at different times of the day, detailed information about flexibility in schedules, employment information and attitudes towards departure times, should allow practitioners to estimate hybrid time-of-day choice models incorporating latent variables.

Employees are considered as important contributors to service innovation, but the literature is not unanimous about what employee involvement in service innovation entails. To advance theoretical understanding of the topic, this paper develops a conceptual framework for analysing employee involvement in service innovations, reviews existing research on the topic and proposes a research agenda.

Different modes of employee involvement in service innovation are distinguished based on two dimensions: (1) the intensity of employee influence on service innovation and (2) the breadth of the innovation activity in which employees are involved. This conceptual framework is abductively developed through a literature review of empirical service innovation studies to identify and analyse whether and how these modes of employee involvement are manifested in the service innovation literature.

The findings delineate six modes of employee involvement in the reviewed service innovation studies. Employees are primarily seen as having a strong influence on situated innovation activities but a limited influence on systemic innovation activities. The findings show that more research is needed to assess the connections between different modes of employee involvement.

The findings can be used by practitioners to assess the possibilities different modes of employee involvement may bring to service innovation activities.

The proposed conceptual framework and the analysis of current research and research gaps in service innovation studies provide a clear research agenda for progressing multidimensional understanding of employee involvement in service innovation.

This paper aims to investigate how awareness influences the adoption of positive selection (PS) technology among smallholder yam farmers in West Africa. PS has the potential of increasing yield and reducing disease incidence and severity in yam production.

This paper applies the average treatment effect (ATE) methodology to estimate the rates of awareness and adoption of the PS technology and associated factors using data from 678 smallholder seed yam farmers in Ghana and Nigeria.

The results indicate that the actual adoption rates of PS technology are 58 and 55%, while the potential adoption rates are estimated at 89.5 and 79.3% for Ghana and Nigeria, respectively, if the PS technology was fully disseminated. This leads to adoption gaps of 31.7 and 24.8%, respectively, for Ghana and Nigeria stemming from incomplete awareness of the PS among the population of yam growing farmers. The PS adoption is high among the educated young farmers who are members of farmer based organizations and participate in demonstrations.

Promotional efforts for enhancing awareness and adoption of PS should target educated youth willing to participate in field demonstrations and should focus on scaling up of PS technology to ensure quality farmer saved seed yams and enhance yam productivity in West Africa.

The introduction of PS in seed yam production is quite recent also its introduction to seed yam farmers in West Africa. Subsequently, a better understanding of what the adoption status would be should everyone in the population of yam farmers are aware of PS is vital for policy, research and development.

The purpose of this paper is to apply pragmatism – a philosophy of science on the interplay of human actions and meaning – as a perspective for studying service research and practice, emphasizing the need to deal with dynamics and diversity to cope with service marketplace disruptions. This work focuses on customers (individuals or groups of individuals) as key marketplace stakeholders.

Pragmatism provides a foundation for theorizing about change by connecting human actors’ cognitive belief structures and their actions through a continuous learning process. This paper outlines how the key principles of pragmatism can advance service research and practice.

Adopting the key principles of pragmatism in service management directs attention to service market dynamics. Understanding customers’ everyday lives as the interplay of experiencing, knowing and acting reveals insights about the role of service in dynamic markets for the benefit of service research and practice.

The paper is a viewpoint to stimulate researchers’ reflections on often hidden core assumptions about service. Pragmatism provides a perspective on actors’ practical rationality and problem solving in dynamic settings. Along with its emphasis on a holistic understanding of customers’ lives, this perspective provides direction for future service research and practice. Further, conceptual development and empirical substantiation are encouraged.

By focusing on marketplace changes, this paper addresses management concerns for commercial and non-commercial organizations. Pragmatism encourages critical reflections on what companies are doing and why (the connection between actions and beliefs), revealing underlying beliefs and institutionalized industry practices that require modifications.

Pragmatism is an approach to service research and practice, irrespective of aggregation level and sector. Therefore, it can help stimulate societal welfare.

Pragmatism advances service research by delineating a holistic perspective on customers’ lives and providing a perspective for exploring and understanding dynamics and diversity in service markets.