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This paper proposes to rethink the concepts of relevance and usefulness and their relation to the theory–practice gap in management research.

On the basis of the cognitive-linguistic relevance theory or inferential pragmatics, supplemented by insights from information science, we define relevance as a general conceptual category, while reserving usefulness for the instrumental application in a particular case.

There is no reason to hold onto the difference between theoretical and practical relevance, nor to distinguish between instrumental and conceptual relevance.

This novel approach will help to clarify the confusion in the field and contribute to a better understanding of the added value of management research.

In vol. 6, 1976, of Advances in Librarianship, I published a review about relevance under the same title, without, of course, “Part I” in the title (Saracevic, 1976). [A substantively similar article was published in the Journal of the American Society for Information Science (Saracevic, 1975)]. I did not plan then to have another related review 30 years later—but things happen. The 1976 work “attempted to trace the evolution of thinking on relevance, a key notion in information science, [and] to provide a framework within which the widely dissonant ideas on relevance might be interpreted and related to one another” (ibid.: 338).

Dynamic advertising, including television and online video ads, demands new theory and tools developed to understand attention to moving stimuli. The purpose of this study is to empirically test the predictions of a new dynamic attention theory, Dynamic Human-Centred Communication Systems Theory, versus the predictions of salience theory.

An eye-tracking study used a sample of consumers to measure visual attention to potential areas of interest (AOIs) in a random selection of unfamiliar video ads. An eye-tracking software feature called intelligent bounding boxes (IBBs) was used to track attention to moving AOIs. AOIs were coded for the presence of static salience variables (size, brightness, colour and clutter) and dynamic attention theory dimensions (imminence, motivational relevance, task relevance and stability).

Static salience variables contributed 90% of explained variance in fixation and 57% in fixation duration. However, the data further supported the three-way interaction uniquely predicted by dynamic attention theory: between imminence (central vs peripheral), relevance (motivational or task relevant vs not) and stability (fleeting vs stable). The findings of this study indicate that viewers treat dynamic stimuli like real life, paying less attention to central, relevant and stable AOIs, which are available across time and space in the environment and so do not need to be memorised.

Despite the limitations of small samples of consumers and video ads, the results of this study demonstrate the potential of two relatively recent innovations, which have received limited emphasis in the marketing literature: dynamic attention theory and IBBs.

This study documents what does and does not attract attention to video advertising. What gets attention according to salience theory (e.g. central location) may not always get attention in dynamic advertising because of the effects of relevance and stability. To better understand how to execute video advertising to direct and retain attention to important AOIs, advertisers and advertising researchers are encouraged to use IBBs.

This study makes two original contributions: to marketing theory, by showing how dynamic attention theory can predict attention to video advertising better than salience theory, and to marketing research, showing the utility of tracking visual attention to moving objects in video advertising with IBBs, which appear underutilised in advertising research.

This article aims to identify methodological openings and barriers for using managerial relevance as a method to further business to business (B2B) marketing theory.

There is currently an imbalance between two research modes; notably, the normative knowledge accumulation mode confers scant space to the solution mode. This negatively affects both the production of managerially relevant research and theoretical developments within B2B marketing which, in turn, hinders the development of marketing as an applied science. Against the background of an upgraded methodological cartography, emphasizing the equal importance of the two research modes, this article illustrates the context of using managerial relevance as a method to forward B2B marketing theory. An aggregate picture of corresponding calls in the literature shows why this is important.

Calls for increased managerial relevance and methodological diversity outside the normative knowledge accumulation mode will face difficulties in terms of changing researcher behavior, as long as the biased relationship between the two research modes persists. For managerially relevant research to increase, and for B2B marketing science to progress, underlying assumptions of different methodological stances have to be uncovered, calling for increased methodological clarity.

To prevent a relapse, the analysis suggests a further strategy by which to modify schematic models to study organizational change and behavior.

A more significant role attributed to managerial relevance for theory development early in the research process, permits to align the perspectives of research with the needs of practice and will decrease the research–practice gap.

The article pinpoints two research modes and three epistemological stances – predict, describe and depict – which sharpens methodological clarity beyond traditional qualitative–quantitative, and conceptual–empirical classifications.

The idea that education should be made relevant to students is long-standing and pervasive in American society. Recently, motivation scientists have clarified important characteristics of students’ relevance beliefs, ways to intervene, and individual characteristics moderating intervention effects. Yet, there has been little consideration of the role of situational constraints and sociocultural influences on students’ relevance appraisal processes. We describe how societal changes and broader educational purposes affect the issues that students consider to be relevant to their educational experiences and the values they subsequently attribute to their studies. After differentiating components of relevance and highlighting ways in which particular components may be influenced by changing sociocultural milieus, we consider the implications of these processes for the development of subjective task value beliefs. Specifically, we show how the proposed model of relevance helps to parse out aspects of relevance appraisals that can be used to differentiate between components of subjective task value and argue that there is need to expand current models proposed in expectancy-value theory (EVT). Finally, we explore how recent global events may impact the social construction of educational relevance and constrain students’ developing beliefs about the value of their educational opportunities and implications for future research and educators.

The purpose of this paper is to provide a new and useful formulation of relevance.

This paper is formulated as a conceptual argument. It makes the case for the utility of considering relevance to be function of use in creative processes.

There are several corollaries to formulating relevance as a function of use. These include the idea that objects by themselves cannot be relevant since use assumes interaction; the affordances of objects and how they are perceived can affect what becomes relevant but are not in themselves relevant; relevance is not an essential characteristic of objects; relevance is transient; potential relevance (what might be relevant in the future) can be distinguished from what is relevant in use and from what has been relevant in the past.

The paper shows that its new formulation of relevance brings improved conceptual and terminological clarity to the discourse about relevance in information science. It demonstrates that how relevance is articulated conceptually is important as its conceptualization can affect the ways that users are able to make use of information systems and, by extension, how information systems can facilitate or disable the co-production of creative outcomes. The paper also usefully expands investigative opportunities by suggesting relevance and creativity are interrelated.

The purpose of this study is to examine the consumer-side effects of “under new management” (UNM) signs. The authors integrate cue-utilization theory and relevance theory to guide hypotheses about the conditions under which these signs are and are not beneficial.

Two consumer-based experiments were used to examine the quality and reputation effects of restaurants signaling a management change on potential and existing customers.

The results suggest that positive and negative effects are possible. The direction of these effects is contingent upon consumers’ prior experience, type of service (i.e. search/experience) and the relevance of the signal.

The study is limited to one industry (i.e. restaurants) and examines the effects of market signals on perceived quality and reputation. In addition, this research brought forth the notion of “signal relevance” and suggested that it may be explicitly tied to attributions. However, this assertion must examine multiple signals (relevant/irrelevant) and their contingent effects on consumer perceptions.

The findings advise businesses to use caution when using signals such as an “UNM” sign, as they appear to have different effects depending on the experience of the consumer with the service and the relevance of the signal.

This research contributes to the literature on cue utilization theory to understand the effects of marketplace cues on consumer perceptions. It contributes to marketing theory and practice by proposing a model of cue effects based on prior customer experience, type of service and cue relevance.

Several businesses have begun to use memes as part of social media marketing. Although memes have been independently explored through various theories, their use in social media marketing has not yet been explored. This study analyzes theories used to study memes and suggests popular marketing theories to do the same for memes in social media marketing.

This study employed a mixed methodology. We used the Scopus database and the SPAR-4 protocol to gather, organize, and evaluate the literature. A bibliometric analysis was performed to understand the themes explored in the literature. Manual content analysis was performed to identify the theories used to elucidate study memes.

We profiled meme research through a bibliometric analysis. Relevance theory, Rhetoric theory, Theories of humor, Evolutionary theory, and the theory of conceptual blending are the most frequently used theories in meme literature. Furthermore, we found that the marketing theories used to study memes are limited.

The findings of this study will benefit academia, marketers, and social media managers by offering a comprehensive picture of theories used in meme research. It also suggests new avenues for conducting future research on memes based on identified theories.

This is one of the first known studies to employ both bibliometric and content analyses to review theories in meme literature. Furthermore, we suggest marketing theories and research questions to explain meme marketing.

There is limited published work addressing factors that influence responses to internet surveys. This is due in part to lack of an agreed upon set of relevant theories. Albaum, Evangelista and Medina (AEM) and Evangelista et al. made a step toward filling this gap when they studied the relevance of four theories of survey response behaviour. The AEM study included a survey from a population of survey researchers. Based on their survey, they concluded that all four theories contribute to explaining survey response behaviour. The purpose of this paper is to provide an exploratory extension of AEM by using an extended set of theories in an exploratory content analysis of qualitative feedback to a large internet‐based experiment.

An internet‐based survey using an experimental design was sent to essentially the entire population of student e‐mail addresses at a New Zealand university. The 12,000 questionnaires distributed included open‐end questions that asked about factors related to conducting surveys over the internet, especially potential barriers to response. A total of 841 comments are collected. An extended version of the four theories identified by AEM are used to organise and summarise the feedback provided.

Cost is the most highly mentioned factor and commitment the least‐mentioned factor. Overall, cost, reward, and trust are the most significant factors in survey response, leading to the conclusion that social exchange appears to the most prominent theory for internet‐based surveys and commitment is the least prominent theory.

This is the first study to use qualitative research to assess the applicability of the major theories of survey response behaviour. In addition; the study is the first to apply these theories to internet‐based surveys.

The purpose of this study is the review of current status of action research (AR) and design science (DS) in logistics and supply chain management (SCM) and to compare AR and DS.

The paper’s approach comprises the literature review of AR and DS articles.

First, not much has changed in terms of number of published AR articles, despite frequent calls for more relevant research. One explanation is the academic system. Second, there is an increased focus on theory, which from a positive perspective is a sign of our field maturing, yet the academic system and current editorial philosophies may also contribute to this development. Third, DS is emerging as a potential replacement of AR.

The study provides suggestion for both authors and editors when it comes to the increased focus on theory. Comparing AR and DS, the two approaches are similar. However, while the increased focus on theory is reflected in DS, it also seems to be an inferior approach for ill-defined change-focused problems, requiring in-depth, collaborative, data-rich, longitudinal studies.

This paper is the first article that reviews and compares AR and DS in LSCM.