Search results

The leading frameworks of internationalization have contributed significantly to our knowledge of how firms internationalize, but do not fully explain how firms actually create and capture value from customers when internationalizing their activities. Understanding the value creation and capture activities defining their business model(s) is critical for firms moving into less familiar markets, and is particularly relevant for service firms where variability is an inherent feature of the firm/client experience. To address this gap, we take a business model perspective to analyze 144 internationalization events of 10 professional service firms. We find that the case firms adopted four different business models when internationalizing, and that single firms may utilize portfolios of business models. Our findings contribute to both the services internationalization and business model literatures by showing how variability in the internationalization process substantiates the need for business model portfolios.

Students develop knowledge through an ongoing process of learning embodied in their daily experiences. As citizens, they develop an identity in their communities as they build relationships through recurrent interactions, thus constructing citizenship by strengthening stable interactions. This paper aims to examine the development of student active citizenship within a Jean Monnet module summer school that uses a participative approach and experiential learning.

The research provides a multi-level systems perspective on the learning experience in a Jean Monnet module. It combines state-of-the-art analysis of the Jean Monnet modules reports, analysis of a selected module’s activities and delayed participants feedback analysis. The methodology addresses complexity at multiple levels and leaves sufficient variance to invite readers to test the approaches themselves.

First, opportunities and gaps in the development of active citizen abilities were identified within the Jean Monnet modules. Second, it was established that the use of a participative approach and experiential learning aligned activities in the learning process yielded positive results in participant engagement. Third, long-term effects in the form of an improved understanding of active citizenship and the execution of activities in real life were also observed. The authors point to the need for active communication in the development of a full-cycle experiential learning process. Additionally, the multi-level monitoring model contributed positively towards the continual improvement of the learning process, and thus, provided a learning experience for teachers.

The research is limited regarding the clear articulation of the research results, rendering comparison with other learning experience reports challenging.

For lecturers, the importance of integrating the participative approach into the student learning process is documented; the effects of experience learning on students’ active participation are presented; and the importance of systems perspective on multiple aspects of the learning process is reinforced. For students, an example of the importance of being active in the learning process and using available resources is provided. For policymakers, the paper attests to the importance of learning programmes expanding the limitations of the regular curricula and the need to support additional programmes and the benefits of a participative approach and experience learning in the process of developing active citizens.

The authors point to the need for authentic situational-context experience and active communication in the learning process. Additionally, the authors provide an example of systems investigation of the learning process.

The paper identifies the gap between the Jean Monnet modules and active citizen abilities and provides a potential approach towards reducing them. It also provides a multi-level method for monitoring and adjusting the learning process.

The purpose of this paper is to suggest an innovation-based perspective on company performance and develops a conceptual framework.

This is a research paper, which builds on prior theoretical and empirical management research.

The innovation-based view is grounded in interfirm differences in innovation, and it underscores the opportunities to achieve sustainable superior firm performance by innovating internally besides the increasing trend toward open innovation. The innovation-based perspective goes beyond many firms’ focus on product innovation by examining its interdependencies with other essential first-order innovations such as service, process, business model, and management innovations. The innovation-based perspective further addresses the dynamic and intertemporal transformation of innovation activities based on second-order innovations, which provide a more realistic view of organizations’ innovation over time. This transformation affects organizational boundaries and how a firm sustains superior performance.

The innovation-based view revises extant approaches to competition and firm boundaries. The new arguments help to reconcile inconsistent earlier findings, and they deepen the understanding of interfirm differences in innovation and performance.

Internet marketing underground industry users refer to people who use technology means to simulate a large number of real consumer behaviors to obtain marketing activities rewards illegally, which leads to increased cost of enterprises and reduced effect of marketing. Therefore, this paper aims to construct a user risk assessment model to identify potential underground industry users to protect the interests of real consumers and reduce the marketing costs of enterprises.

Method feature extraction is based on two aspects. The first aspect is based on traditional statistical characteristics, using density-based spatial clustering of applications with noise clustering method to obtain user-dense regions. According to the total number of users in the region, the corresponding risk level of the receiving address is assigned. So that high-quality address information can be extracted. The second aspect is based on the time period during which users participate in activities, using frequent item set mining to find multiple users with similar operations within the same time period. Extract the behavior flow chart according to the user participation, so that the model can mine the deep relationship between the participating behavior and the underground industry users.

Based on the real underground industry user data set, the features of the data set are extracted by the proposed method. The features are experimentally verified by different models such as random forest, fully-connected layer network, SVM and XGBOST, and the proposed method is comprehensively evaluated. Experimental results show that in the best case, our method can improve the F1-score of traditional models by 55.37%.

This paper investigates the relative importance of static information and dynamic behavior characteristics of users in predicting underground industry users, and whether the absence of features of these categories affects the prediction results. This investigation can go a long way in aiding further research on this subject and found the features which improved the accuracy of predicting underground industry users.

The purpose of this paper is to explore the general nature of human multiple information task behavior in Web information seeking and retrieval contexts and identify the factors that influence the processes of prioritizing mul.tiple information tasks.

Experiments were conducted in a laboratory setting to collect data from multiple sources including search logs, think aloud reports during the searches and interviews, questionnaires, and post-search interviews. Quantitative and qualitative analysis techniques were both used.

The findings of this study reveal that effort, time and perception may all be necessary factors in producing good performance in dynamic and complex information situations, but how the author effectively manages the emotions ultimately yields successful performance. High mental effort, even when accompanied by productive time management, is not sufficient to produce high performance unless the author effectively deal with the emotions and feelings in such situations.

A comprehensive understanding of the affective, cognitive, and physical processes underlying the human multiple information task behavior is vital if the author is to design emotionally intelligent information systems that can support people when managing dynamic and complex information situations in hi-tech environments.

This paper aims to examine the role of project monitoring and evaluation (M&E) in international development (ID) project stakeholders' relationships. This study draws on agency theory to examine the specific role M&E plays in improving ID project impact.

Qualitative data comprising of in-depth interviews were collected from ID project stakeholders such as project donors, implementing partners and steering committee members.

Results of the study show that project M&E activities can serve multiple purposes including the collection of data for the assessment of inputs, outputs, outcomes and impact. This information is shared with stakeholders to assist in evidence-based decision-making to improve project impact on community. This study shows that M&E activities strengthen the relationship between stakeholders by involving multiple stakeholders at different stages of ID projects to identify community needs and to demonstrate the positive community impact. Agency issues such as goal incongruence, information asymmetry and risk-sharing affect the relationship between the stakeholders. Investing in different M&E activities can reduce these issues, ultimately leading to a positive impact at the community level.

There has been limited research that explores the principal-agent relationship between project stakeholders of ID projects through the lens of agency theory. The role of M&E to collect project data and address agency issues between project stakeholders to improve project impact is the novel contribution of this paper.

The purpose of this paper is to clarify how activities may be coordinated within shippers’ organisations to enable high load factor (a key aspect of transport efficiency).

A multiple-case study involving three shippers was conducted, in which the logistics or transport managers of each company were interviewed. The cases were analysed according to which activities were coordinated to achieve high load factor, interdependencies between the activities, and the coordination mechanisms that shippers adopted.

A matrix is developed to show the differences in applying various coordination mechanisms in eight categories, according to intrafunctional or interfunctional coordination, sequential or reciprocal interdependencies, and the number of activities (dyadic or multiple). For example, coordination mechanisms aimed at exerting control are more suitable for intrafunctional than interfunctional interaction; interfunctional coordination relies more on mechanisms that aim to increase the understanding of transport-related issues among non-logistics activities.

The study is based on data from three Swedish companies.

Managers are provided with suggestions for coordinating activities when their goal is to improve load factor. These findings are of interest for reducing costs and emissions.

In response to suggestions in the earlier literature that shippers could improve their internal coordination to improve their load factor, this paper articulates several mechanisms for performing such coordination in eight situations.

The purpose of this article is to develop an integrative framework of accelerator design to answer the question of what activities accelerators perform and how they function within a structured framework. Research on the functioning of accelerators as a mechanism for startup engagement produced multiple empirical results. However, the comparability of relevant research is strongly limited, currently hindering theoretical developments. Existing accelerator design models often differ and only partially overlap, which leaves extant literature with a fragmented and discordant conceptual understanding.

Based on a meta-synthesis method using qualitative analysis of 36 accelerator design articles, an integrative framework is developed. After identification of relevant literature, a renowned method for extracting, coding and synthesizing data on individual and cross-study level is applied to identify accelerator design constructs. Eventually, identified accelerator design constructs are integrated into a framework resting on the activity system lens of business model design.

The article reconciles fragmented knowledge on accelerator design and shows how accelerator design can be holistically conceptualized by 32 key activities clustered in eight design dimensions. The framework is complemented by an initial guideline for measurement. The findings further highlight formerly disregarded aspects of governance and community formation from a processual and structural perspective.

This article is the first to present a comprehensive picture of accelerator design integrating multiple empirical findings of prior research into a single coherent framework. This framework offers a shared foundation for future research exploring the delineations, functioning and impact of accelerators. From a practical perspective, the article provides managers of accelerators a guide to design, review and improve programs according to their value creation goals.

The purpose of this paper is to examine how certain limitations of the current approaches to planning and scheduling of aircraft heavy maintenance can be addressed using a single integrated framework supported by unified data structures.

The “unitary structuring technique”, originally developed within the context of manufacturing planning and control, is further enhanced for aircraft heavy maintenance applications, taking into account the uncertainty associated with condition‐based maintenance. The proposed framework delivers the advanced functionalities required for simultaneous and dynamic forward planning of maintenance operations, as well as finite loading of resources, towards optimising the overall maintenance performance.

Execution of maintenance operations under uncertainty involves materials changes, rectification and re‐assembly. It is shown that re‐scheduling of materials (spare‐parts), resources and operations can be taken care of by simultaneous and dynamic forward planning of materials and operations with finite loading of resources, using the integrated framework.

As part of adopting the proposed framework in practice, it needs to be guided by an overall methodology appropriate for application‐specific contexts.

The potential direct benefits of adopting the proposed framework include on‐time project completion, reduced inventory levels of spare‐parts and reduced overtime costs.

Existing approaches to aircraft maintenance planning and scheduling are limited in their capacity to deal with contingencies arising out of inspections carried out during the execution phase of large maintenance projects. The proposed integrated approach is, capable of handling uncertainty associated with condition‐based maintenance, due to the added functionalities referred to above.