Search results

This paper aims to explore key factors that will shape the future of trade shows as a marketing instrument until the year 2020. Using multi‐stage scenario analysis, the paper seeks to provide a background for the discussion of strategic decisions made by trade show companies when they respond to the challenges ahead.

The underlying research draws on scenario analysis involving experts who represent exhibitors and trade show organisers. In total, 50 leading executives were involved. The majority of them are located in Germany, but they are exposed to the international trade show business. The probability that the identified scenarios will materialise was assessed using a representative survey of 400 German managers of exhibiting companies.

Within the study, three distinct scenarios were identified. Each scenario shows a different level of importance for trade shows as a marketing tool in the future. None of the scenarios predicts that trade shows will be completely replaced by other means, but all of the scenarios forecast a highly competitive market for trade show organisers.

The paper evaluates the trade show itself as a marketing instrument rather than predicting the development of the global trade show industry. As projections are determined by the characteristics of trade shows themselves, the results can add to the discussion of strategic decisions globally, even though the scenario study predominantly involved German experts.

The research provides practitioners with a list of important factors that influence the performance of exhibitors and trade show organisers and hence insights into the future of trade shows as a marketing instrument.

The paper provides a useful multidimensional perspective on what the future may hold for trade shows.

Strokes are the most common cause of long-term disability of adults in developed countries. Continuous participation in rehabilitation can alleviate some of the consequences, and support recovery of stroke patients. However, physical rehabilitation requires commitment to tedious exercise routines over lengthy periods of time, which often cause patients to dropout of this form of therapy. In this context, game-based stroke rehabilitation has the potential to address two important barriers: accessibility of rehabilitation, and patient motivation. The paper aims to discuss these issues.

This paper provides a review of design efforts in human-computer interaction (HCI) and gaming research to support stroke rehabilitation.

Based on extensive review, this paper highlights challenges and opportunities in this area, and discusses an architecture guideline for a game-based stroke rehabilitation system.

This study was an original study.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.

Shopping apps are a highly relevant channel and an increasingly important part of omni-channel retailing, as they strengthen the customer relationship. This study analyses the possibilities available to retailers to encourage consumers to download a shopping app and use it in the long-term.

The study uses a scenario-based online experiment with a 2 × 2 × 2 between-subjects design and data from 332 participants. A second online experiment with a 2 × 3 between-subjects design and data from 200 participants supplements the main experiment. The data obtained from these experiments were analysed using M/ANCOVA and PROCESS.

Findings suggest that a rebate (monetary incentive) increases the download intention. Online and in-store app features (non-monetary incentives) do also have positive impacts on the use intention, though the in-store feature only works when it is offered in combination with the online feature. The relationships are mediated by the perceived usefulness of the shopping app. Moreover, the non-monetary features interact with the channel preference of the consumers, who react more positively towards features offered in a non-preferred channel. A supplementary study supports this finding.

This research is novel as it analyses the impact of monetary (rebate) and non-monetary (online and in-store features) incentives on both the download and use intention of a shopping app separately. Further, it contributes to research on the topic by examining which features consumers perceive as useful. Finally, the study considers the omni-channel environment regarding consumers’ channel preference.

This paper aims to contribute to the understanding of psychosocial factors in the German information and communication technology (ICT) sector. Specifically, the authors seek to explore the relationships between sources of workplace social support and work engagement.

The paper presents the results of a cross-sectional self-report online survey of 336 employees working in six information and communication technology companies in Germany. Analyses are conducted employing multiple linear regression models.

Supervisor and co-worker support showed discrete effects on work engagement components (vigour, dedication, absorption). Overall, supervisor support showed a stronger association with work engagement than co-worker support among ICT employees.

This paper makes a contribution to the further understanding of the relationship of psychosocial factors, particularly sources of social support and employee engagement, in the context of ICT industry.

The ambidextrous leadership model specifically describes opening and closing leader behaviors in the innovation process. This paper aims to emphasize the relevance of the ambidextrous leadership model with respect to leadership in innovation processes.

In this longitudinal research design, 54 employees rated the ambidextrous leader behaviors and innovation performance concerning an innovation project over a period of six weeks. Traditional leadership styles (i.e. transformational, transactional, instrumental leadership, leader–member exchange) were assessed at a between-person level to identify their effects with respect to innovation performance.

Multilevel regression analysis results showed that instrumental leadership as well as opening and closing leader behaviors were positively related to innovation performance. By contrast, transformational and transactional leadership as well as leader–member exchange (LMX) did not show significant associations with innovation performance.

The findings support the relevance of specific leader behaviors to the innovation process and therefore underline the importance of the ambidextrous leadership model.

The purpose of this paper is to report the first empirical test of the recently proposed ambidexterity theory of leadership for innovation (Rosing et al., 2011). This theory proposes that the interaction between two complementary leadership behaviors – opening and closing – predicts team innovation, such that team innovation is highest when both opening and closing leadership behaviors are high.

Multi-source survey data came from 33 team leaders of architectural and interior design firms and 90 of their employees.

Results supported the interaction hypothesis, even after controlling for leaders’ transformational leadership behavior and general team success.

The relatively small sample size and the cross-sectional design are potential limitations of the study. The findings provide initial support for the central hypothesis of the ambidexterity theory of leadership for innovation.

The results suggest that organizations could train team leaders’ ambidextrous leadership behaviors to increase team innovation.

Identifying ways to facilitate organizational innovation is important, as it contributes to employment and company growth as well as individual and societal well-being.

This multi-source study contributes to the literatures on leadership and innovation in organizations by showing that ambidextrous leadership behaviors predict team innovation above and beyond transformational leadership behavior.

Mobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.

Data were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.

The findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.

This research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.

While previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.

This paper aims to explore the requirements of organizational knowledge management initiatives using requirements engineering techniques, identifying the optimal techniques configuration and serving as a management tool for knowledge engineers.

The method is selection attributes. Knowledge management enablers are characterized and mapped with the coverage capabilities of requirements engineering techniques, using the attributes of the elicited object and a box-plot analysis. The information is gathered from 280 references, 32 companies and 16 experts in requirements engineering.

Requirements of organizational knowledge management initiatives are got optimally by combining interviews, use cases, scenarios, laddering and focus group techniques. The requirements of structure and processes are more complex to identify, while culture requirements are the best covered.

Knowledge management enablers are analyzed according to the current studies and comprehension of engineering techniques.

Knowledge engineers need to consider the coverage capabilities of engineering techniques to design an optimal requirement identification and meet the objectives of organizational knowledge acquisition initiatives. Requirement engineers can improve the requirements identification by a staged selection process.

The requirements of knowledge management initiatives that impact the community can be identified and traced to ensure the knowledge objectives. Requirements related to culture and people, like shared values, beliefs, and behaviors, are also considered.

To the best of the authors’ knowledge, this is the first study about formal requirement identification of knowledge management initiatives in the organizational context, providing the optimal configuration. A novel staged process is proposed for requirements engineering techniques selection, analyzing the enablers at component level and identifying the attributes associated with the elicited object.