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Brands increasingly coappear in television programs while research in product placement has primarily focused on the placements of a single brand. Building on research related to product placement and cobranding, this study aims to systematically examine the roles of product competitiveness and brand competitiveness on the effectiveness of brand coappearance on television programs.

Extensive pretesting and four experimental studies were conducted. Real stimuli that had been digitally manipulated with fictitious brands were used in Study 1 (laboratory experiment involved student samples) and Study 2 (online experiment with a national sample) to examine the short- and long-term impacts of product competitiveness on brand coappearance. Real stimuli incorporated actual brands were used in Study 3 (involved advertisers’ key demographic) and Study 4 (alterative television program with a national sample) to examine the impacts of brand competitiveness and its interaction effect with product competitiveness.

The study found that coappearing with a product of high competitiveness significantly enhanced attitudes and purchase intention toward the coappearing products both in the short and long term. Product competitiveness further interacts with brand competitiveness to influence attitudes and purchase intention toward the coappearing brands suggesting a coopetition pattern for brand coappearances. The effect of brand coappearances did not vary substantially for low or high involvement products with or without character interaction.

The study develops a useful framework for explaining and understanding the potential spillover effects in brand coappearances. It contributes to the existing literature on product placement and cobranding, while also paving the way for future research opportunities.

When introducing new brands, marketers are advised to consider coappearance deals with more competitive brands in highly competitive product categories. Conversely, coappearance deals with less competitive brands in less competitive product categories should be adopted to promote well-known brands. Advertisers may also consider product or brand exclusivity arrangements with broadcasters to enhance the effectiveness of the product placement.

Although brand coappearance in media content is likely to continue to proliferate, little is known about the phenomenon and its effects. To the best of the authors’ knowledge, this research is the first to systematically examine the perceptions toward brands coappeared in television programs.

Customer value co-creation behavior is promising but undertheorized. To bridge this gap, this study examines the viability of a social cognitive theory positing that customers' value co-creation behavior is shaped by their co-creation experience, self-efficacy, and engagement.

Using healthcare as a case, a stratified random sample comprising 600 patients from 40 hospitals across eight metropolitan cities in an emerging economy was acquired and analyzed using co-variance-based structural equation modeling (CB-SEM).

Customers' co-creation experience has a positive impact on their co-creation self-efficacy, co-creation engagement, and value co-creation behavior. While co-creation self-efficacy and engagement have no direct influence on value co-creation behavior, they do serve as mediators between co-creation experience and value co-creation behavior, suggesting that when customers are provided with a co-creation experience, it enhances their co-creation self-efficacy and engagement, ultimately fostering value co-creation behavior.

A theory of customer value co-creation behavior is established.

The competition in the academe has always been tough, but today, the academe seems to be more like an industry than an academic community as academics are evaluated through quantified and economic means.

This article leans on Heidegger’s thoughts on the essence of technology and his ontological view on being to show the dangers that lie in this quantification of researchers and research.

Despite the benefits that information systems (ISs) offer to people and research, it seems that technology has made it possible to objectify researchers and research. This has a negative impact on the academe and should thus be looked into especially by the IS field, which should note the problems that exist in its core. This phenomenon of quantified academics is clearly visible at academic quantification sites, where academics are evaluated using metrics that count their output. It seems that the essence of technology has disturbed the way research is valued by emphasising its quantifiable aspects. The study claims that it is important to look for other ways to evaluate researchers rather than trying to maximise research production, which has led to the flooding of articles that few have the time or interest to read.

This paper offers new insights into the current phenomenon of quantification of academics and underlines the need for critical changes if in order to achieve the academic culture that is desirable for future academics.

Research serves to elucidate and tackle real-world issues (e.g. capitalizing opportunities and solving problems). Critical to research is the concept of validity, which gauges the extent to which research is adequate and appropriate in representing what it intends to measure and test. In this vein, this article aims to present a typology of validity to aid researchers in this endeavor.

Employing a synthesis approach informed by the 3Es of expertise, experience, and exposure, this article maintains a sharp focus on delineating the concept of validity and presenting its typology.

This article emphasizes the importance of validity and explains how and when different types of validity can be established. First and foremost, content validity and face validity are prerequisites assessed before data collection, whereas convergent validity and discriminant validity come into play during the evaluation of the measurement model post-data collection, while nomological validity and predictive validity are crucial in the evaluation of the structural model following the evaluation of the measurement model. Additionally, content, face, convergent and discriminant validity contribute to construct validity as they pertain to concept(s), while nomological and predictive validity contribute to criterion validity as they relate to relationship(s). Last but not least, content and face validity are established by humans, thereby contributing to the assessment of substantive significance, whereas convergent, discriminant, nomological and predictive validity are established by statistics, thereby contributing to the assessment of statistical significance.

This article contributes to a deeper understanding of validity’s multifaceted nature in research, providing a practical guide for its application across various research stages.

Being clear and specific on what moderating and/or mediating variables are included and what effects are observed in academic research helps the reader to better understand the academic research context and results. But in terms of managerial relevance, it is also important to do this in a way that it provides descriptive, goal and operational relevance to decision makers in practice, depending on the type of intended research. This article wants to provide “a question-based step-by-step guide” on how to make the analysis of moderating/mediating variables and their observed effects more managerially relevant.

Based on a critical review of the literature, important criteria of managerial relevance are confronted with important aspects of theory building with respect to mediating and moderating effects, leading to best-practice insights and recommendations. Moreover, exemplary articles are used to illustrate these findings.

The insights and step-by-step recommendations assist the academic researcher in making choices when analyzing moderators and mediators, by not only taking a theoretical perspective, but also a managerial (relevance) perspective. Adding moderators/mediators may for instance challenge the “core logic of managerial practice” (in terms of thinking and decision making), even if it does not change the “core logic of a theory” as such. In the other direction, academics (and their theory) may be challenged by practitioners, in the way they define moderators/mediators and their levels. The steps in this article relate to aspects such as measurability, controllability and role of moderators and mediators in managerial problem and decision contexts. In case of multiple moderating and/or mediating variables, the decision architecture for managers becomes more complex, especially when the effects are countervailing/opposite. Multiple studies in this article illustrate that in that case, making optimal decisions becomes a “balancing” act for managers/decision makers and may even challenge their common beliefs (e.g. linear thinking).

The guidelines on managerial relevance of moderating and/or mediating variables and their effects can be used by academic researchers and editors of academic journals, pursuing not only academic rigor, but also managerial relevance. Besides being a guide for managerially relevant output, it also helps in determining for which questions in the research process, input from practitioners or at least insights from practice (e.g. through sources such as business magazines and portals) may be needed. The guidelines may also be used for teaching purposes, complementing more theoretical articles that mainly focus on methodological/statistical issues of moderating/mediating variables and their effects.

The employment rate of autistic people is low, and they are often employed in low-paying jobs or in jobs involving tasks that fall short of their skills and competence. To address this situation, the individual placement and support method (IPS) offers promising perspectives for personalized and long-term support measures. This evidence-based method has produced positive results in several countries. IPS has been used in France only since 2016. This paper aims to examine the experience of autistic people in France who have benefitted from supported employment measures.

Nineteen autistic adults in France took part in semistructured interviews. Interview questions focused on work and measures to support employment. The authors analysed the interviews using reflexive thematic analysis, within the paradigm of critical realism. The authors adopted a participatory approach; the project was led by an autistic researcher and autistic individuals were included at all stages.

This study identified six primary themes and three subthemes across the data: (1) The uphill battle to obtain adjustments in the workplace; (2) insufficient knowledge of autism; (2.1) explaining again and again: the educative burden; (3) the challenge of making oneself heard; (3.1) when the entourage steps in; (4) support measures as material assistance and reassurance; (4.1) between benevolence and condescension; (5) organizational factors that affect the quality of support; and (6) personal and professional life are closely intertwined.

This research provides a better understanding of how autistic people experience supported employment in France and highlights ways to improve it. Job coaches play a crucial role in offering practical help and reassurance, and their efforts to nurture an active personal life are perceived positively. However, supported employment also carries the risk of limiting autistic individuals' capacity for action and causing several difficulties if job coaches are not well-informed about autism, do not reflect on their own attitudes, do not assist in obtaining necessary accommodations and if there are organizational problems leading to a lack of resources.

In order to estimate the value of semi-automated subject indexing in operative library catalogues, the study aimed to investigate five different automated implementations of an open source software package on a large set of Swedish union catalogue metadata records, with Dewey Decimal Classification (DDC) as the target classification system. It also aimed to contribute to the body of research on aboutness and related challenges in automated subject indexing and evaluation.

On a sample of over 230,000 records with close to 12,000 distinct DDC classes, an open source tool Annif, developed by the National Library of Finland, was applied in the following implementations: lexical algorithm, support vector classifier, fastText, Omikuji Bonsai and an ensemble approach combing the former four. A qualitative study involving two senior catalogue librarians and three students of library and information studies was also conducted to investigate the value and inter-rater agreement of automatically assigned classes, on a sample of 60 records.

The best results were achieved using the ensemble approach that achieved 66.82% accuracy on the three-digit DDC classification task. The qualitative study confirmed earlier studies reporting low inter-rater agreement but also pointed to the potential value of automatically assigned classes as additional access points in information retrieval.

The paper presents an extensive study of automated classification in an operative library catalogue, accompanied by a qualitative study of automated classes. It demonstrates the value of applying semi-automated indexing in operative information retrieval systems.

Structural mentoring barriers are policies, practices and cultural norms that collectively disadvantage marginalized groups and perpetuate disparities in mentoring. This study aims to better understand structural mentoring barriers at the postdoctoral training stage, which has a direct impact on faculty diversity and national efforts to retain underrepresented groups in research careers.

A diverse sample of postdoctoral scholars (“postdocs”) from across the USA were asked to participate in focus groups to discuss their training experiences. The authors conducted five 90-min focus groups with 32 biomedical postdocs, including 20 (63%) women and 15 (47%) individuals from underrepresented racial/ethnic groups (URG).

A social-ecological framework was used to categorize both the upstream and downstream manifestations of structural mentoring barriers, as well as mentoring barriers, overall. Notable structural barriers included: academic politics and scientific hierarchy; inequalities resulting from mentor prestige; the (over) reliance on one mentor; the lack of formal training for academic and non-academic careers; and the lack of institutional diversity and institutional mentor training. To overcome these barriers, postdocs strongly encouraged developing a network or team of mentors and recommended institutional interventions that create more comprehensive professional development, mentorship and belonging.

For postdoctoral scientists, structural mentoring barriers can permeate down to institutional, interpersonal and individual levels, impeding a successful transition to an independent research career. This work provides strong evidence for promoting mentorship networks and cultivating a “mentoring milieu” that fosters a supportive community and a strong culture of mentorship at all levels.