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Effective rail surface defects detection method is the basic guarantee to manufacture high-quality rail. However, the existed visual inspection methods have disadvantages such as poor ability to locate the rail surface region and high sensitivity to uneven reflection. This study aims to propose a bionic rail surface defect detection method to obtain the high detection accuracy of rail surface defects under uneven reflection environments.

Through this bionic rail surface defect detection algorithm, the positioning and correction of the rail surface region can be computed from maximum run-length smearing (MRLS) and background difference. A saliency image can be generated to simulate the human visual system through some features including local grayscale, local contrast and edge corner effect. Finally, the meanshift algorithm and adaptive threshold are developed to cluster and segment the saliency image.

On the constructed rail defect data set, the bionic rail surface defect detection algorithm shows good recognition ability on the surface defects of the rail. Pixel- and defect-level index in the experimental results demonstrate that the detection algorithm is better than three advanced rail defect detection algorithms and five saliency models.

The bionic rail surface defect detection algorithm in the production process is proposed. Particularly, a method based on MRLS is introduced to extract the rail surface region and a multifeature saliency fusion model is presented to identify rail surface defects.

Health apps offer a potential approach to support healthier food behaviours but a lack of sufficient engagement may limit effectiveness. This study aims to use a user engagement theoretical lens to examine the factors that influence app engagement over time and may prompt disengagement.

A phenomenological exploration of the lived experience was used. Women from a lower socioeconomic background (based on the occupation and employment status of the household’s primary income earner) were randomly assigned to use one of two apps for a minimum of eight weeks. Multiple data collection methods, including accompanied shops, researcher observations, interviews, participant reflective accounts and questionnaires, were used at different time-points to examine engagement. Theoretical thematic analysis was conducted to explore the engagement experience and relevant social, personal and environmental influences.

Healthy food involvement appears to drive app engagement. Changes in situational involvement may contribute to fluctuation in engagement intensity over time as the saliency of personal goals change. Negatively valenced engagement dimensions may contribute to the overall expression of engagement. A lack of congruency with personal goals or an imbalance between perceived personal investment and value was expressed as the primary reasons for disengagement.

Situational involvement may act as a trigger of different engagement phases. There is a need to better distinguish between enduring and situational involvement in engagement research.

Individual characteristics may shape engagement and propensity for disengagement, which highlights the practical importance of incorporating tailored features into app design.

Findings broaden the current conceptualisation of engagement within the digital space and prompt a reconsideration of the role of situational involvement and negatively valenced dimensions throughout the engagement process.

The purpose of this paper is to describe two cycles of learning study (LS) involving eight elementary teachers in British Columbia, Canada. The study explored the teachers’ experiences of learning to plan and teach lessons as informed by recent brain research.

The case study was constructed using data sources including teacher semi-structured interviews (pre-study, post-study and delayed post-study), classroom materials (including student assignments), LS training materials, fieldnotes and recordings of meetings and research lessons; sources were triangulated. Thematic analysis was applied. Contemporary neuroscience perspectives framed the LS discourse and analysis.

The teachers developed theoretical coherence and could better articulate reasons for their pedagogy. They developed understandings of the cognitive architecture underlying functions like learning and memory, allowing them to identify pedagogical actions that are consistent with human biology and understand why these actions are effective in promoting learning.

LS is shown to be an effective professional development (PD) model where theoretical knowledge, like neuroscience, could be employed and tested in classroom settings to provide depth to support teachers’ praxis. This teaching–research nexus supports exploration of fruitful connections between theoretical knowledge and education to advance the science of learning and the science of instruction.

Findings demonstrated how LS could be employed with alternative theoretical perspectives to promote teacher PD, thus extending beyond the dominant use of variation theory. Also, illustrated is the potential use of LS to bridge the knowledge gap between neuroscience and education.

The purpose of this paper is twofold: to provide a clear picture on the cognitive biases affecting managers’ decision-making process of implementing a performance management system (PMS), and to identify managerial practices, measures and the key challenges to manage the cognitive biases in the corporate strategy.

Semi-structured interviews, based on theoretical milestones of performance management and cognitive psychology, gathered from 104 experienced professionals’ evaluations on the likelihood and impact of managers’ cognitive biases in PMS implementation, potential solutions as well as drivers and connected criticalities.

Recurring cognitive biases, together with considerable impacts, emerged in the first, and most strategic, phases of the PMS implementation. The authors developed a roadmap to support corporate transition to integrate behavioral strategy into the PMS implementation aiming to achieve economically and efficiently sound performance.

From the view of proper behavioral strategy affirmation in performance management literature, in a small way, the authors contribute to a desirable taxonomy of cognitive biases so differentiated decision-making scenarios may be built to compare results and draw new observations. Behavioral studies could transversally connect the cognitive biases of performance management to actors’ sociodemographic features and personality types. Practitioners may check biases affecting their organizations by means of the questionnaire and, consequently, adopt the framework illustrated to reduce them.

Performance management literature has constantly investigated positive and negative behavioral factors related to the PMS. This study, instead, makes a theoretical and methodological contribution to the PMS implementation as a decision-making process. The authors propose a theoretical framework that integrates cognitive psychology insights and applies measures to reduce biases.

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 paper aims to introduce a new integrated strategic framework entitled, “The corporate identity, total corporate communications, stakeholders’ attributed identities, identifications and behaviours continuum” and elucidates the central and strategic importance of corporate identity apropos corporate communications, corporate image, attributed stakeholder identifications and resultant behaviours. The strategic importance of corporate identity is noted. The continuum incorporates a variety of disciplinary/theoretical perspectives.

The paper/framework is informed by corporate marketing and strategic perspectives; legal theory of the firm; social identity branch theories; and stakeholder theory. The effects and management of corporate identity are seen as a continuum. The framework accommodates Tagiuri’s (1982) scholarship on corporate identity.

This paper formally introduces and explicates “The corporate identity, total corporate communications, stakeholders’ attributed identities, identifications and behaviours continuum”. Corporate identity management is an on-going strategic senior management/strategic requisite. Notably, the legal theory of company law – routinely overlooked – and its impact on corporate identity management is accepted, acknowledged and accommodated. The importance of stakeholders and stakeholder identification (a derivative of social identity theory) is underscored.

Via the explication of the continuum, managers can comprehend the nature and importance of corporate identity; appreciate that corporate identity adaptation/change is on-going; comprehend its interface/s with corporate communications, stakeholder attributed identities, identifications and the business environment; understand the need for on-going fidelity to an institution’s legally based core purposes and corporate identity traits (juridical identity); cognise the efficacy of constant stakeholder and environmental analysis. Corporate identity sustainability requires corporate identity to be advantageous, beneficial, critical, differentiating and effectual. Stakeholder prioritisation is not solely dependent on power, legitimacy and urgency but on legality, efficacy, ethicality and temporality.

The resultant framework/approach, therefore, aims to make a meaningful advance on the territory and, moreover, seeks to be of utility to scholars and practitioners of corporate marketing, strategy and company law. Arguably, therefore, the framework is more ambitious than extant framework on the domain. The resultant framework/approach, therefore, aims to make a meaningful advance on the territory and seeks to be of utility to scholars and practitioners of corporate identity, communications, images, identification, stakeholder theory, company law and, importantly, corporate strategy.

This study aims to explore how the boundary between science and society can be addressed to support the transformation of higher education towards sustainable development (HESD) in the sense of the whole institution approach. It analyses students’ learning experiences in self-led sustainability projects conducted outside formal curricula to highlight their potential contribution to HESD. The students’ projects are conceived as learning spaces in “sustainability-oriented ecologies of learning” (Wals, 2020) in which five learning dimensions can be examined.

Using an iterative, grounded-theory-inspired qualitative approach and sensitising concepts, 13 in-depth semi-structured interviews were conducted exploring students’ learning experiences. Interviews were categorised in MAXQDA and analysed against a literature review.

Results revealed that students’ experiences of non-formal learning in self-led projects triggered deep learning and change agency. Trust, social cohesion, empowerment and self-efficacy were both results and conditions of learning. Students’ learnings are classified according to higher education institutions’ (HEIs) sustainability agendas, providing systematised insights for HEIs regarding their accommodative, reformative or transformative (Sterling, 2021) path to sustainable development.

The education for sustainable development (ESD) debate focuses mainly on ESD competences in formal settings. Few studies explore students’ learnings where formal and non-formal learning meet. This article investigates a space where students interact with different actors from society while remaining rooted in their HEIs. When acting as “change agents” in this hybrid context, students can also become “boundary agents” helping their HEIs move the sustainability agenda forward towards a whole institution approach. Learning from students’ learnings is thus proposed as a lever for transformation.

This paper aims to determine whether policy uncertainty caused by institutional decay in countries with populist rulers influences the internationalization decision of emerging market firms (EMFs).

The study used binary logit analysis on firms from Latin American countries undertaking cross-border greenfield investment projects.

The results suggest that internationalization decision is demotivated by policy uncertainty generated by populist chief executives and promoted by that of political parties.

This study uses populist rhetoric to describe policy uncertainty due to chief executives and ruling parties, which influences internationalization decision by increasing anticipated transaction costs. This inquiry identifies populism as a variable that influences EMFs to internationalize, while empirically testing the claim of theoretical scholarship that populism reconfigured the sociopolitical and institutional forces that shape the world’s business. This study further advances institutional theory by offering a fresh perspective on the influence of home instead of host-country institutions on the internationalization motivation of firms due to institutional decay caused by populist regimes.

This paper aims to address one of the fundamental issues of gathering existing knowledge/solutions from projects for re-use in other projects, that is, contextual elements that are integrated with the knowledge. Contextual elements that are associated/integrated with knowledge do not often taken into consideration adequately during knowledge transfer. Hence, this can lead to undesirable consequences, for example, unnecessary use of time and resources. This paper will increase the awareness of (and lead to finding appropriate ways to) dealing adequately with contextual elements in knowledge transferring processes.

Qualitative method: narrative literature study.

This paper provides a conceptual understanding of dealing with contextual elements in knowledge transferring processes from the sense making perspective.

This paper, which is connected to a research and development (R&D) project that has recently started, uses this paper to emphasize the importance of addressing contextual elements adequately in knowledge transferring processes. This emphasis is important as this R&D project deals with, among other things, collecting lessons learned on energy efficient solutions from building and renovation projects for re-use in other renovation projects.

This paper will contribute to replicate knowledge / lessons learned effectively and to increase the application of energy efficient solutions in building renovation projects.

This paper attempts to point out and increase our understanding on how acquisition of knowledge at an earlier point of time can influence transferring of that knowledge at a later point of time. In general, there is inadequate focus and awareness on this issue in construction projects.

Social enterprises (SEs) face tensions when combining financial and social missions, and this is particularly evident in the scaling process. Although extant research mainly focuses on SEs that integrate their social and financial missions, this study aims to unpack social impact scaling strategies in differentiated hybrid organizations (DHOs) through the case of African SEs.

The study entails an inductive multiple case study approach based on four case SEs: work integration social enterprises (WISEs) and fair trade producer social enterprises (FTPSEs) in Uganda and Kenya. A total of 24 semi-structured interviews were collected together with multiple secondary data sources and then coded and analyzed through the rigorous Gioia et al. (2013) methodology to build a theoretical model.

The results indicate that SEs, as differentiated hybrids, implement four types of social impact scaling strategies toward beneficiaries and benefits (penetration, bundling, spreading and diversification) and unveil different dual mission tensions generated by each scaling strategy. The study also shows mutually reinforcing mechanisms named cross-bracing actions, which are paradoxical actions connected to one another for navigating tensions and ensuring dual mission during scaling.

This study provides evidence of four strategies for scaling social impact, with associated challenges and response mechanisms based on the cross-bracing effect between social and financial missions. Thus, the research provides a clear framework (social impact scaling matrix) for investigating differentiation in hybridity at scaling and provides new directions on how SEs scale their impact, with implications for social entrepreneurship and dual mission management literature.

The model offers a practical tool for decision-makers in SEs, such as managers and social entrepreneurs, providing insights into what scaling pathways to implement (one or multiples) and, more importantly, the implications and possible solutions. Response mechanisms are also useful for tackling specific tensions, thereby contributing to addressing the challenges of vulnerable, marginalized and low-income individuals. The study also offers implications for policymakers, governments and other ecosystem actors such as nongovernmental organizations (NGOs) and social investors.

Despite the growing body of literature on scaling social impact, only a few studies have focused on differentiated hybrids, and no evidence has been provided on how they scale only the social impact (without considering commercial scaling). This study brings a new perspective to paradox theory and hybridity, showing paradoxes come into view at scaling, and documenting how from a differentiation approach to hybridity, DHOs also implemented cross-bracing actions, which are reinforcement mechanisms, thus suggesting connections and synergies among the actions in social and financial mission, where such knowledge is required to better comprehend how SEs can achieve a virtuous cycle of profits and reinvestments in social impact.