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This paper defines the emerging intermodal issues, identifies alternative solutions and develops strategies to achieve them. It reviews intermodal logistics policies in the EU, NAFTA and Asia, focusing on the United States and Japan in NAFTA and Asia respectively, because they have been the prominent motors of international trade in their regions. From an Asian standpoint, it is a pity that it is not yet possible to report on a common intermodal strategy.

The purpose of this article is to explore the potential of visualization for corporate knowledge management.

The employed methodology consists of a taxonomy of visualization formats that are embedded in a conceptual framework to guide the application of visualization in knowledge management according to the type of knowledge that is visualized, the knowledge management objective, the target group, and the application situation. This conceptual framework is illustrated through real‐life examples.

The findings show that there is much room for knowledge management applications based on visualization beyond the mere referencing of experts or documents through knowledge maps.

The research implications thus consist of experimenting actively with new forms of visual knowledge representation and evaluating their benefits or potential drawbacks rigorously.

The authors encourage managers to look beyond simple diagrammatic representations of knowledge and explore alternative visual languages, such as visual metaphors or graphic narratives.

This paper consists of two elements: first, the systematic, descriptive and prescriptive approach towards visualization in knowledge management, and second the innovative examples of how to harness the power of visualization in knowledge management.

Artifacts are rarely used today to visualize thoughts, insights, and ideas in strategy work. Rather, textual and verbal communication dominates. This is despite artifacts and visual representations holding many advantages as tools to create and make sense of strategy in teamwork. To advance our understanding of the benefits of visual aids in strategy work, I synthesize insights from cognitive psychology, neuroscience, and management research. My analysis exposes distinct neurocognitive advantages concerning attention, emotion, learning, memory, intuition, and creativity from visual sense-building. These advantages increase when sense-building activities are playful and storytelling is used.

This paper aims to address the issue of modeling and model‐based management from a psycho‐ and sociological perspective, showing that the requisite decision‐making models are a necessary but not sufficient condition for taking the right decisions. To overcome this lack of a physical space, a “brain‐supporting environment” is proposed to support group decision making in complex situations.

Following the interdisciplinary character of management problems, findings from different fields are used to derive requirements for complex problem solving.

Procedural, structural and technological measures are proposed to debias individual and group decision making. Finally, a “brain‐supporting environment” is sketched in which humans, as well as humans and machines, interact in order to arrive at better decisions.

The paper points out ways that today's technologies can be used to enhance the ability to manage complexity and to prepare the management of organizations for the challenges of the twenty‐first century.

The paper contributes to the management of complex systems by integrating findings from different scientific disciplines in a comprehensive approach to support decision making.

The purpose of this study is to describe latent classes explaining the innovation logic in the Finnish construction companies. Innovativeness is a driver of competitive performance and vital to the long-term success of any organisation and company.

Using finite mixture structural equation modelling (FMSEM), the authors have classified innovation logic into latent classes. The method analyses and recognises classes for companies that have similar logic in innovation activities based on the collected data.

Through FMSEM analysis, the authors have identified three latent classes that explain the innovation logic in the Finnish construction companies – LC1: the internal innovators; LC2: the non-innovation-oriented introverts; and LC3: the innovation-oriented extroverts. These three latent classes clearly capture the perceptions within the industry as well as the different characteristics and variables.

The presented latent classes explain innovation logic but is limited to analysing Finnish companies. Also, the research is quantitative by nature and does not increase the understanding in the same manner as qualitative research might capture on more specific aspects.

This paper presents starting points for construction industry companies to intensify innovation activities. It may also indicate more fundamental changes for the structure of construction industry organisations, especially by enabling innovation friendly culture.

This study describes innovation logic in Finnish construction companies through three models (LC1–LC3) by using quantitative data analysed with the FMSEM method. The fundamental innovation challenges in the Finnish construction companies are clarified via the identified latent classes.

Tropical wetland ecosystems are threatened by climate change but also play a key role in its mitigation and adaptation through management of land use and other drivers. Local-level assessments are needed to support evidence-based wetland management in the face of climate change. This study aims to examine the local communities’ knowledge and perception of climate change in Yala wetland, Kenya, and compare them with observed data on climate trends. Such comparisons are useful to inform context-specific climate change adaptation actions.

The study used a mixed methods approach that combined analysis of climate data with perceptions from the local community. Gridded data on temperature and rainfall for the period from 1981 to 2018 were compared with data on climate change perceptions from semi-structured questionnaires with 286 key informants and community members.

Majority of the respondents had observed changes in climate parameters – severe drought (88.5%), increased frequency of floods (86.0%) and irregular onset and termination of rains (90.9%) in the past 20 years. The perceptions corresponded with climate trends that showed a significant increasing trend in the short rains and the average maximum temperature, high incidence of very wet years and variability in onset and termination of rainfall between 1981 and 2018. Gender, age and education had little influence on knowledge and awareness of climate change, except for frequency of floods and self-reported understanding of climate change. The community perceived the wetland to be important for climate change adaptation, particularly the provision of resources such as grazing grounds during drought.

The study faced challenges of low sample size, use of gridded climate data and reproducibility in other contexts. The results of this study apply to local communities in a tropical wetland in Western Kenya, which has a bi-modal pattern of rainfall. The sample of the study was regional and may therefore not be representative of the whole of Kenya, which has diverse socioeconomic and ecological contexts. Potential problems have been identified with the use of gridded data (for example, regional biases in models), although their usefulness in data scarce contexts is well established. Moreover, the sample size has been found to be a less important factor in research of highly complex socio-ecological systems where there is an attempt to bridge natural and social sciences.

This study addresses the paucity of studies on climate change trends in papyrus wetlands of sub-Saharan Africa and the role of local knowledge and perceptions in influencing the management of such wetlands. Perceptions largely influence local stakeholders’ decisions, and a study that compares perceptions vs “reality” provides evidence for engagement with the stakeholders in managing these highly vulnerable ecosystems. The study showed that the local community’s perceptions corresponded with the climate record and that adaptation measures are already ongoing in the area.

This study presents a case for the understanding of community perceptions and knowledge of climate change in a tropical wetland under threat from climate change and land use change, to inform management under a changing climate.

This paper re-conceptualizes and measures brand identity (BI) from a services perspective. This paper aims to develop and test a psychometrically valid and reliable scale to measure service brand identity (SERVBID).

A multi-stage research design was adopted drawing on qualitative and quantitative studies consistent with extant scale development procedures. Qualitative studies comprised a comprehensive literature review, expert panel review and interviews to develop a theoretical framework and generate items. Quantitative studies comprised pilot testing (n = 106), online survey for scale development (n = 246) and scale validation (n = 245) on UK-based consumers using exploratory and confirmatory factor analysis.

The study finds support for a five-dimensional SERVBID scale comprising: process identity; organization identity; symbolic identity; servicescape identity; and communication identity.

The SERVBID scale provides practitioners with a practical tool to understand, benchmark and assess SERVBID. The scale will assist marketers in assessing the strength of BI overall as well as the strength of individual facets of BI.

This study provides a deeper and complete understanding of the theoretical construct of BI through a service-dominant lens, in particular recognizing the defining role of the service process and servicescape in SERVBID construction.

The purpose of this study is to examine the relationship between satisfaction, congruence, nostalgic connections and trust with reference to brand attachment and behavioral loyalty. Behavioral loyalty was examined through the customer’s intention to continue the relationship, as well as proselytism and resistance upwards of the price in the luxury restaurant sector.

A questionnaire was developed and distributed via email and different Facebook groups which specialized in the luxury restaurant sector in Tunisia. A total of 310 questionnaires were completed and structural equation modeling with AMOS was used to test the hypothesis.

The findings suggest that brand attachment clearly explains the behavioral loyalty of consumers because it contributes toward maintaining the relationship with the brand in terms of repetitive buying behavior. Only satisfaction and nostalgic connection was found to influence brand attachment and satisfaction has a bearing on proselytism. Brand attachment in turn influences the intention to continue the relationship and the resistance to upward pricing, but not toward proselytism.

The managerial implications can guide managers toward enhancing the behavior loyalty of customers through better relational marketing practices.

The research is original in terms of conceptualizing and empirically testing the relation between brand attachment and behavior loyalty within the luxury restaurant sector with a specific focus on Tunisia. This study is one of the first to examine the relationship between brand attachment and behavioral loyalty in the restaurant sector.