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Immigrants are important contributors to workplaces, but HRM scholars have only recently begun to study them systematically. We document the prevalence and cross-national variation in populations of immigrant employees. Going beyond a treatment that considers them as another element of diversity, we propose how gradients of status at each level of country, organization, and work group admittance can result in unique outcomes for immigrants who are equally (dis)similar. We offer a taxonomy of immigrant pathways into their destination countries to explore the status hierarchies they are assigned by governments and reinforced by organizations. We provide insights into the ascribed status of immigrants and develop a typology of individual and organizational acculturation strategies based on the cultural tightness and looseness of the destination and origin cultures. We then describe how the reactions of members of an immigrant employee’s social environment are sensitive to ascribed status and cultural tightness-looseness. We do so in a three-stage process that begins with immigrant categorization, followed by conferral of (il)legitimacy, and finally brought together with perceptions of outcome interdependence. Finally, we offer ideas about HRM interventions to guide management scholars in their quest for understanding and improve the experiences of immigrants in the workplace.

This chapter reviews some of our most recent research as to whether the cognitive performance of reading disabled and poor readers can be separated under dynamic assessment procedures. We describe results related to junior high school students (mean chronological age of 12 years) with reading disabilities, poor readers, and skilled readers. Students were administered intelligence, reading and math tests, and working memory (WM) measures (presented under static and dynamic testing conditions). The results thus far show that: (1) dynamic assessment measures (maintenance scores) contributed unique variance to predicting reading; and (2) poor readers and skilled readers were more likely to change and maintain gains under the dynamic testing conditions than students with reading disabilities. Some discussion was given to developing a valid classification of reading disabilities.

Sharing services increasingly extends beyond intraorganizational concentration of service delivery. Organizations have started to promote cooperation across their boundaries to deal with strategic tensions in their value ecosystem, moving beyond traditional outsourcing. This chapter addresses two research questions geared to the challenge of interorganizational shared services (ISS): why would organizations want to get and remain involved in ISS? And: what are the implications of ISS for (inter)organizational value creation?

The conceptual chapter reviews literature pertaining to ISS from public, commercial, and nongovernmental sectors. ISS is understood as a multistakeholder organizational innovation. In order to analyze ISS and conduct empirical research, we developed a taxonomy and research framework.

The chapter shows how ISS can be positioned in value chains, distinguishing vertical, horizontal, and hybrid ISS. It outlines ISS implications for developing business models, structures, and relationships. Success factors and barriers are presented that epitomize the dynamic interplay of organizational autonomy and interorganizational dependence.

The research framework offers conceptual ideas for theoretical and empirical work. Researchers involved in ISS studies may adopt strategic, strategic innovation, and organizational innovation perspectives.

ISS phases are distinguished to focus innovation management — initiation, enactment, and evaluation. Furthermore, insights are provided into processes and interventions aimed at making ISS a success for participating organizations.

Cross-sectoral perspective on ISS; taxonomy of ISS; research framework built on organization and strategic management literature.

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.

To understand whether new public management and public value theory are sufficient to guide the strategic behaviours adopted by public sector organizations for their service delivery companies.

This article uses a longitudinal case study of a joint stock company running an airport service in Tuscany.

Public value theory should be further developed to guide managerial behaviours in a very complex decision-making environment.

Only one case study is used so results cannot be generalized in a proper statistical way.

Public managers could learn the usefulness of managerial theories for their decision-making.

Theories aimed at providing managers with insights into decisions made in complex situations should be tested in the real world before being accepted or refused.

This article analyzes a case study operating under and applying the concepts proposed by new public management and public value theory. It therefore offers insights on their applicability, shortcomings and usefulness for decision-making.