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Quality of care in the residential aged sector has changed over the past decade. The purpose of this paper is to examine these changes from the perspectives of staff to identify factors influencing quality of residential aged care, and the role and influence of an aged care accreditation programme.

Focus groups were held with 66 aged care staff from 11 Australian aged care facilities. Data from semi-structured interviews were analysed to capture categories representing participant views.

Participants reported two factors stimulating change: developments in the aged care regulatory and policy framework, and rising consumer expectations. Four corresponding effects on service quality were identified: increasing complexity of resident care, renewed built environments of aged care facilities, growing focus on resident-centred care and the influence of accreditation on resident quality of life. The accreditation programme was viewed as maintaining minimum standards of quality throughout regulatory and social change, yet was considered to lack capacity of itself to explicitly promote or improve resident quality of life.

For an increasingly complex aged care population, regulatory and societal change has led to a shift in service provision from institutional care models to one that is becoming more responsive to consumer expectations. The capacity of long-established and relatively static accreditation standards to better accommodate changing consumer needs comes into question.

This is the first study to examine the relationship between accreditation and residential aged care service quality from the perspectives of staff, and offers a nuanced view of “quality” in this setting.

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.

Past research on luxury is fragmented resulting in challenges to define what the construct of luxury means. Based on a need for conceptual clarity, this study aims to map how research conceptualises luxury and its creation.

This study presents a scoping review of luxury articles published in peer-reviewed journals. Of the initial 270 articles discovered by using the database of Scopus, and after control searching in Web of Science and reference scanning, 54 high-quality studies published before the end of 2020 were found to meet the inclusion criteria and comprised the final analytical corpus.

The findings demonstrate that research approaches luxury and its creation from three different perspectives: the provider-, consumer- and co-creation perspectives. In addition, the findings pinpoint how the perspectives differ from each other due to fundamental and distinguishing features and reveal particularities that underlie the perspectives.

The suggested framework offers implications to researchers who are interested in evaluating and developing luxury studies. Based on the identified luxury perspectives, the study identifies future research avenues.

The study contributes to the luxury research stream by advancing an understanding of an existing pluralistic perspective and by adding conceptual clarity to luxury literature. It also contributes to marketing and branding research by showing how the luxury literature connects to the evolution of value creation research in marketing literature.

Journal of services marketing (JSM) is a leading journal that has published cutting-edge research in services marketing over the past 34 years. The main objective of this paper is to provide a retrospective of the thematic structure of papers published in JSM over its publication history.

This study uses bibliometric methods to present a retrospective overview of JSM themes between 1987 and 2019. Using keywords co-occurrence analysis, this paper unveils the thematic structure of JSM’s most prolific themes. Bibliographic coupling analysis uncovers the research trends of the journal.

Leading authors, leading institutions, authors’ affiliated countries and critically, the dominant themes of JSM are identified. As its founding, JSM has published approximately 40 papers each year, with 2019 being its most productive year. On average, lead JSM authors to collaborate with 1.30 others. Keywords co-occurrence analysis identifies nine prominent thematic clusters, namely, “marketing to service”, “quality, satisfaction and delivery systems”, “service industries”, “relationship marketing”, “service failure, complaining and recovery”, “service dominant logic”, “technology, innovation and design”, “wellbeing” and “service encounters”. Bibliographic coupling analysis groups JSM papers into four clusters, namely, “brand & customer engagement behaviour”, “service co-creation”, “service encounters & service recovery” and “social networking”.

This study is the first to analyse the thematic structure of JSM themes over its history. The themes are analysed across time periods and then compared to dominant themes identified in contemporary service research agendas. Recommendations are made based on the gaps found. This retrospective review will be useful to numerous key stakeholders including the editorial board and both existing and aspiring JSM contributors. The selection of literature is confined to Scopus.

JSM’s retrospection is likely to attract readership to the journal. The study’s recommendations regarding which areas have matured and which are still ripe for future contributions will offer useful guidelines for all stakeholders.

Current publication practices in the scholarly (International) Business and Management community are overwhelmingly anti-Popperian, which fundamentally frustrates the production of scientific progress. This is the result of at least five related biases: the verification, novelty, normal science, evidence, and market biases. As a result, no one is really interested in replicating anything. In this essay, the author extensively argues what he believes is wrong, why that is so, and what we might do about this. The paper aims to discuss these issues.

This is an essay, combining a literature review with polemic argumentation.

Only a tiny fraction of published studies involve a replication effort. Moreover, journal authors, editors, reviewers and readers are not interested in seeing nulls and negatives in print. This replication crisis implies that Popper’s critical falsification principle is actually thrown into the scientific community’s dustbin. Behind the façade of all these so-called new discoveries, false positives abound, as do questionable research practices meant to produce all this allegedly cutting-edge and groundbreaking significant findings. If this dismal state of affairs does not change for the good, (International) Business and Management research is ending up in a deadlock.

A radical cultural change in the scientific community, including (International) Business and Management, is badly needed. It should be in the community’s DNA to engage in the quest for the “truth” – nothing more, nothing less. Such a change must involve all stakeholders: scholars, editors, reviewers, and students, but also funding agencies, research institutes, university presidents, faculty deans, department chairs, journalists, policymakers, and publishers. In the words of Ioannidis (2012, p. 647): “Safeguarding scientific principles is not something to be done once and for all. It is a challenge that needs to be met successfully on a daily basis both by single scientists and the whole scientific establishment.”

Publication practices have to change radically. For instance, editorial policies should dispose of their current overly dominant pro-novelty and pro-positives biases, and explicitly encourage the publication of replication studies, including failed and unsuccessful ones that report null and negative findings.

This is an explicit plea to change the way the scientific research community operates, offering a series of concrete recommendations what to do before it is too late.