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Aaker’s brand personality scale (BPS) published in 1997 has revived hitherto sluggish interest in brand personality research. With time, the BPS, most cited work in brand personality, also faced criticism across dimensions. This paper aims to review the popular journals published after 1997 for criticism related to BPS.

Papers using Aaker’s BPS without change/with change are identified and scrutinized for reasons for the usage of BPS. Papers on brand personality that have avoided BPS are also scrutinized for reasons of avoidance. Independent efforts of understanding brand personality without Aaker’s framework are also reviewed. In-depth study of all these papers is done to report the criticism of Aaker’s BPS.

This review identifies the criticism of BPS and classifies it across six categories – definition, dimension, methodology, concept, words and generalizability related criticism. This paper argues that some issues such as definition, conceptual understanding of brand personality and methodology used to develop BPS need further attention of scholars. On the other hand, issues of dimensions, words used and generalizability can be attributed to evident reasons, such as culture and meaning given to words because of native language.

This criticism and interest in Aaker’s BPS are unprecedented. It has been 20 years since BPS was published. Many scholars have countered the Aaker’s BPS through their work; however, a comprehensive review covering all criticisms and issues of BPS is still missing in literature. This paper is filling this gap in literature.

La Escala de Personalidad de Marca de Aaker fue publicada en 1997 y desde entonces ha motivado el interés por la investigación de la personalidad de la marca. Con el tiempo, esta escala se ha convertido en la más citada, pero también ha sido objeto de crítica. Este artículo revisa las principales críticas a la escala desde su publicación en 1997.

Se analizaron los artículos que utilizaron la escala de personalidad de marca de Aaker sin cambios o con cambios y los motivos de uso. Se examinaron los trabajos que evitaron utilizar la escala y las razones argumentadas. También se analizaron los esfuerzos realizados para comprender la personalidad de marca al margen de este enfoque. El análisis en profundidad de todos estos trabajos permitió sintetizar las principales críticas vertidas hacia la escala de personalidad de marca de Aaker.

Las críticas a la escala de personalidad de marca fueron clasificadas en seis categorías - Definición, Dimensión, Metodología, Concepto, Palabras utilizadas y Capacidad de generalización. El artículo argumenta que algunas cuestiones como la definición, la comprensión conceptual de la personalidad de la marca y la metodología utilizada para desarrollar la escala requieren mayor atención por parte de los académicos. Por otra parte, los problemas relacionados con las dimensiones, las palabras utilizadas y la capacidad de generalización pueden atribuirse a razones evidentes como la cultura, diferente significado de las palabras en distintos países, etc.

Las críticas e interés generado por la escala de personalidad de marca de Aaker no tienen precedentes. Han pasado 20 años desde su publicación y son muchos los investigadores han vertido sus críticas específicas. Sin embargo, en la literatura se echa en falta algún trabajo que revise todas estas críticas de forma integrada. Este artículo pretende cubrir este vacío en la literatura.

Work-based research is the applied form of work-based learning (WBL) and has been described as the systematic and methodical process of investigating work-related “problems”. Such problems can either be associated with specific workplaces and domains of practice or may more broadly be described as practical, social or real-world in nature. However, the specific characteristics of work-related problems for organisations and society have yet to be explained, and inadequate problem definition, multiple and competing goals, and lack of agreement on cause-effect relationships have hampered understanding. The purpose of this paper is to examine the nature of work-related problems and provides examples from real-world contexts in Australia.

The paper provides models and examples of standard and non-standard work-related problems based on prior research and current practice.

Research paradigms view work-related problems as either definable and solvable or ill-defined, complex, difficult to describe and not easily rectified. The former view is concerned with “high ground problems” associated with traditional research methods; the latter with “lowland, messy, confusing problems” more frequently associated with the social sciences. Irrespective of orientation and definition, work-related problems have one thing in common: they are typically messy, constantly changing and complex, and many are co-produced and wicked.

Despite difficulties with identifying and isolating the various types of work-related problem, the paper establishes the importance of doing so for the practitioner. The definition and examination of work-related problems contribute to an evolving formulation of WBL and its application to private organisations, government agencies and work more generally.

The purpose of this paper is to reflect on how to apply the abductive research process for developing a theoretical explanation in studies on performance management and management control systems. This is important because theoretically ambitious research tends to require explanatory study outcomes, but prior research frameworks provide little guidance in this regard, potentially facilitating ill-defined research designs and a lack of common vocabulary and criteria for evaluating studies.

The authors introduce a methodological framework that distinguishes three interwoven theoretical abstraction levels: descriptive, analytical and explanatory. They use a recently published qualitative field study to illustrate an application of the framework.

The framework and its illustrated application make the systematic logic of the abductive research process visible and accessible to researchers. The authors explain how the framework supports moving from empirical description to theoretical explanation during the research process and where the three levels might open spaces for the positioning of novel practices and conceptual and theoretical innovations.

The framework provides guidance for an explanatory research design and theory-building purpose and has been developed in response to recent criticism in the field that highlights the wide gap between leading-edge practice and the lagging state of theory. It offers interdisciplinary vocabulary and evaluation criteria that can be applied by any accounting and management researcher regardless of whether they pursue critical, interpretive or positivist research and whether they primarily use qualitative or quantitative research methods.

Introducing technology at work presents a special challenge as learning is tightly integrated with workplace practices. Current design-based research (DBR) methods are focused on formal learning context and often questioned for a lack of yielding traceable research insights. This paper aims to propose a method that extends DBR by understanding tools as sociocultural artefacts, co-designing affordances and systematically studying their adoption in practice.

The iterative practice-centred method allows the co-design of cognitive tools in DBR, makes assumptions and design decisions traceable and builds convergent evidence by consistently analysing how affordances are appropriated. This is demonstrated in the context of health-care professionals’ informal learning, and how they make sense of their experiences. The authors report an 18-month DBR case study of using various prototypes and testing the designs with practitioners through various data collection means.

By considering the cognitive level in the analysis of appropriation, the authors came to an understanding of how professionals cope with pressure in the health-care domain (domain insight); a prototype with concrete design decisions (design insight); and an understanding of how memory and sensemaking processes interact when cognitive tools are used to elaborate representations of informal learning needs (theory insight).

The method is validated in one long-term and in-depth case study. While this was necessary to gain an understanding of stakeholder concerns, build trust and apply methods over several iterations, it also potentially limits this.

Besides generating traceable research insights, the proposed DBR method allows to design technology-enhanced learning support for working domains and practices. The method is applicable in other domains and in formal learning.

A variety of collaborative technologies have been developed to support design communication among members of design teams, and understanding the affordances of these technologies is critical to effective design collaboration. This research explores the potential of social networking as a collective medium that encourages design communication among student designers at the conceptual stage of design in a studio course.

For one semester, the student participants used different social networking services to communicate with their team members, and the authors analysed how they collaborated when solving a given problem using the collaborative tools.

The results show that various social networking platforms support students' communication of design and exploration of problems differently by affecting their clarification of ideas and information sharing. Collective discussion and online support are useful for framing problems and ideation in collaborative design.

This research proposes that social networking services appropriate to the activities needed to be chosen and provided to enable design communication to promote students' active learning through team collaboration.

New opportunities to nurture good ideas for innovation arise as firms use web-based ideation platforms for collective idea generation and development. What influences creative performance in firm-internal collective idea development is however not as well researched as idea generation and thus an important area of research is the feedback and commenting on ideas. More specifically, the purpose of this paper is to explore the role of feedback timeliness and knowledge overlap between feedback providers and ideas in collective firm-internal online idea development.

An empirical study has been performed, drawing on data collected from a Swedish multi-national company using a web-based system for collective firm-internal ideation. The investigation explicitly captures the effects on ideation performance played by idea development contributions, in terms of feedback timeliness and knowledge overlap between feedback providers and ideas.

The empirical results show that idea development is significantly influenced by feedback timeliness as well as by the knowledge overlap between feedback providers and ideas. Specifically, it is found that longer time to feedback and an increased knowledge overlap result in an increased likelihood of idea acceptance. However, beyond a certain point, the positive effects of a longer time to feedback and increased knowledge overlap decrease, resulting in curvilinear relationships with idea acceptance.

The results do not only shed new light on theory about collective idea development, but also provides management implications for collective firm-internal ideation. As the data used in the study has been collected in one single firm, care should be taken in generalizing the results to other domains.

The results inform managers that it is not always better to involve more individuals in these emergent and distributed ideation systems, but that it might be beneficial to take measures to exercise some control in terms of when distributed and diverse employees can freely join in and out, especially considering the diversity of ideas, comments and creators.

The results from the empirical study reveal the effects of feedback timeliness and knowledge overlap on idea development. This provides us with new insights on the complex dynamics at place in collective firm-internal idea development and offers implications for how we can fruitfully manage this process.

The concept of trust suffers from conceptual confusion. The current perspectives on trust within the B2B marketing domain could be visualised as a big box of which the borders are defined by the disciplines marketing, economics, psychology and sociology. The purpose of this paper is to enlarge the box by introducing neuroscientific insights on trust to the B2B marketing domain.

By a literature study on neuroscientific insights on trust, this paper examines how neuroscience can help to solve existing problems within trust research and how it can address problems that otherwise might not be considered.

The neural coordinates of trust not only show that trust entails cognitive and affective elements, but also that these elements are so intertwined that they cannot be completely separated. What can and should be separated are the concepts of trust and distrust: the neural coordinates of trust are clearly different from the neural coordinates of distrust. Furthermore, there are personal differences in the ease of trusting others, which are not only caused by previous experiences but also by differences in resting patterns of frontal electroencephalographic asymmetry and by differences in hormonal state.

Specifically, the neural difference between trust and distrust might shape the future research agenda for trust research within industrial marketing. It is likely that the process of distrust goes quick, whereas trust comes more slow. This is reflected in the dual processing theory, which is seen as a paradigm shift in the psychology of reasoning.

New perspectives and directions for trust research are presented. The distinction between trust and distrust is connected to approach- and avoidance-motivated behaviour, which is highly relevant for deepening the studies on trust within industrial marketing.

Research into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. However, most recent studies either solely promote the benefits of explainability or criticize it due to its counterproductive effects. This study addresses this polarized space and aims to identify opposing effects of the explainability of AI and the tensions between them and propose how to manage this tension to optimize AI system performance and trustworthiness.

The author systematically reviews the literature and synthesizes it using a contingency theory lens to develop a framework for managing the opposing effects of AI explainability.

The author finds five opposing effects of explainability: comprehensibility, conduct, confidentiality, completeness and confidence in AI (5Cs). The author also proposes six perspectives on managing the tensions between the 5Cs: pragmatism in explanation, contextualization of the explanation, cohabitation of human agency and AI agency, metrics and standardization, regulatory and ethical principles, and other emerging solutions (i.e. AI enveloping, blockchain and AI fuzzy systems).

As in other systematic literature review studies, the results are limited by the content of the selected papers.

The findings show how AI owners and developers can manage tensions between profitability, prediction accuracy and system performance via visibility, accountability and maintaining the “social goodness” of AI. The results guide practitioners in developing metrics and standards for AI explainability, with the context of AI operation as the focus.

This study addresses polarized beliefs amongst scholars and practitioners about the benefits of AI explainability versus its counterproductive effects. It poses that there is no single best way to maximize AI explainability. Instead, the co-existence of enabling and constraining effects must be managed.

This paper proposes a theory-based process model for the generation, articulation, sharing and application of managerial heuristics, from their origin as unspoken insight, to proverbialization, to formal or informal sharing, and to their adoption as optional guidelines or policy.

A conceptual paper is built using systematic and non-systematic review of literature. This paper employs a three-step approach to propose a process model for the emergence of managerial heuristics. Step one uses a systematic review of empirical studies on heuristics in order to map extant research on four key criteria and to obtain, by flicking through this sample in a moving-pictures style, the static stages of the process; step two adapts a knowledge management framework to yield the dynamic aspect; step three assembles these findings into a graphical process model and uses insights from literature to enrich its description and to synthesize four propositions.

The paper provides insights into how heuristics originate from experienced managers confronted with negative situations and are firstly expressed as an inequality with a threshold. Further articulation is done by proverbialization, refining and adapting. Sharing is done either in an informal way, through socialization, or in a formal way, through regular meetings. Soft adoption as guidelines is based on expert authority, while hard adoption as policy is based on hierarchical authority or on collective authority.

The findings are theory-based, and the model must be empirically refined.

Practical advice for managers on how to develop and share their portfolio of heuristics makes this paper valuable for practitioners.

This study addresses the less-researched aspect of heuristics creation, transforms static insights from literature into a dynamic process model, and, in a blended-theory approach, considers insights from a distant, but relevant literature – paremiology (the science of proverbs).

Climate change, poverty and pandemics are some of the complex real-world problems that are increasingly challenging higher education institutions (HEIs) to equip future graduates with meta-competences that have hitherto not been demanded. These graduates need to be able to capture and operate within complex systems and relationships. By focusing on complex real-world problems, this study aims to systematically review competences and frame meta-competences supporting curricula development in HEIs.

This study applies a systematic literature review according to the review protocol of Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The review process resulted in the selection of 39 articles, which were subjected to qualitative synthesis to identify competences for tackling complex real-world problems. These competences were grouped into meta-competences and aligned with the Sustainable Development Goals (SDGs).

Scientific disciplines commonly describe four competences for tackling complex real-world problems including domain-specific competence, inter-relation competence, intrapersonal competence and normative competence.

This study found that inter-relation competence is in line with all the SDGs, which is considered important for tackling complex real-world problems across disciplines.

A study in a survey design across disciplines and a weighting of these competences in respect to complex real-world problems aligned with the SDGs could contribute to a more consolidated and common understanding of the meta-competences identified.