Search results

The purpose of this paper is to define a new methodology for designing corporate learning for a global audience and to provide a case study of that methodology in action. The Global Learning Archetypes approach adapts well-established cultural preference models and combines them with insightful learning models. The result is three primary Global Learning Archetypes and six secondary archetypes that allow training to be designed once and used around the world.

The Global Learning Archetype approach was created by evaluating well-established global cultural preferences models, integrating them with a proprietary learning criteria model, and developing a model for rapidly and cost-effectively creating learning for multiple geographies. Additionally, a case study illustrates both the challenges and successes when implementing this model in a large global corporation.

Most organizations create global learning either by creating content in their “home” location and then adapting it for other locations, or by distributing a single version of content and trusting local facilitators to provide context for it. The first method is expensive and time-consuming; the second method is risky and unreliable. The Global Archetype method provides for creating learning interactions that are appropriate for multiple geographies in a single effort.

Most large organizations are global, and smaller organizations increasingly have a global footprint. According to Fortune Magazine, the Fortune Global 500 are headquartered in 37 different countries and do business in over 150 different countries. An Institute for the Future/Intuit study notes that by 2018, half of all US small businesses will be involved in international trade. CSA Research observes that businesses spend about US$31 billion a year on localization. A method for providing global learning in both an impactful and cost-effective way is clearly necessary.

The Global Learning Archetypes method is comparatively new, but it draws from well-established and well-vetted content on worldwide cultural preferences and on effective learning criteria. As such, it is a valuable synthesis of the proven and the innovative. Far more than a conceptual model, the Global Archetypes have been used by some of the largest organizations in the world; a case study of one such implementation is provided in this paper.

Our university demonstrates a strong investment in online education and as part of continuing development delivers some existing online programs in a 3D virtual world. Faculty members need a plan to engage, so they were guided in the adoption of our cybergogy of learning archetypes and learning domains to draw together various aspects of learning. Together we weave threads from orthodox theories with a doctrine of educational technologies that encompasses social-centric 3D interactive virtual environments. This chapter documents the growth of the model from theory into practice to provide a framework for instructors to plan their virtual courses. Five Second Life®-enhanced courses were developed, scheduled and marketed to enrolled students to test the framework. The teaching and learning strategies adopted are reported and outcomes are presented.

The purpose of this paper is to provide a more robust understanding of the development of dynamic capabilities (DCs) in service multi-units with different cultural distances (CD) (high (HCD) and low (LCD)) through the routines of embedded social capital (structural and relational) and knowledge archetype (exploitative and exploratory) learning.

The authors used survey questionnaires and structural equation modeling to discriminate the relationships among variables.

The authors found that structurally embedded social capital has a positive influence on exploratory knowledge learning in HCD service multi-units; relationally embedded social capital has a positive influence on knowledge archetype (exploitative vs exploratory) learning in both HCD and LCD service multi-units; and knowledge archetype learning has a positive influence on the development of DCs in both HCD and LCD service multi-units.

The results identify the central role of social capital (structurally and relationally embedded) in enabling knowledge archetype learning and the development of DCs in service multi-units. In addition, this study provides a description and comparison of how structurally and relationally embedded social capital are key antecedents in knowledge archetype learning and the development of DCs in the context of service multi-units with different HCD and LCD.

The results provide a practical trajectory for the development of DCs in multi-units of multinational corporations in the service industry with different HCD and LCD.

The purpose of this paper is to provide a more robust understanding of how to deploy multiunit organizations’ dynamic capabilities (DCs) by examining the roles of embedded social (structural and relational) capital and knowledge archetype (exploitative and exploratory) learning.

This study uses 315 multiunit samples and structural equation modeling to determine the relationships among the variables.

The analysis reveals that, while embedded structural social capital exerts a positive influence on exploratory knowledge learning in multiunit organizations, embedded relational social capital exerts a positive influence on knowledge archetype (exploitative and exploratory) learning. Knowledge archetype (exploitative and exploratory) learning also positively influences DC deployment in multiunit organizations.

Few DCs studies have empirically examined the roles of embedded social (structural and relational) capital and knowledge archetype (exploitative and exploratory) learning in multiunit organizations. The results of this study address the failure of past theoretical perspectives on DCs to fully specify and verify the links between the roles of embedded social (structural and relational) capital and knowledge archetype (exploitative and exploratory) learning.

This paper offers one practical trajectory for DC deployment in modern multiunit organizations and offers two contributions to the theoretical perspectives on DCs. First, it identifies the critical role of embedded social capital in enabling knowledge archetype learning and DC deployment, which had never been fully specified or verified in the DCs literature. Second, it identifies the importance of DCs’ deployment trajectory in multiunit organizations’ routine processes.

This paper aims to encourage greater clarity and stimulate further interest in thorough empirical research in the area of learning levels. The broader motivation here is to urge researchers to not only theorize but also undertake elaborate and much needed empirical work.

Part I of the study rests on a reflection and review of the literature concerned with “N-loop learning”, that is, the different hierarchical levels and stages of organizational learning.

The study provides some views and classification schemes on how to reconcile and think about different levels of learning. Some learning archetypes are identified that guide further reflection and elaboration on learning stages and hierarchies.

“N-loop learning” is introduced to encapsulate and systematize a vast array of views, models and levels of organizational learning. From zero learning and single-loop learning to quadruple-loop learning, a series of learning archetypes are presented. The case for a proper and clear nomenclature of learning levels is singled out. Finally, a strong case for empirical testing in this area is advocated.

This essay aims to focus on the development and application of knowledge within competitive national and global contexts. Systems thinking concepts are used to define and further explore three plausible pathways for future knowledge development and application.

The approach is anticipatory, utilizing a dynamic knowledge development and application framework based on three futures‐relevant systems paradigms: mechanical (conservatively repetitive), evolutionary (self‐organizing), and teleogenic (purposively creative).

The article projects three heuristic MET archetypes depicting logical paths of knowledge development and application from now to 2025.

The MET framework provides a systems‐language descriptive means for understanding and engaging in an expanding ecology of educational and new knowledge development options.

The part covers the planning process from the perspective of the instructor. Our global set of authors span Europe, Asia, and the Americas. The principle concept is that the science of learning, the cybergogy, that has emerged in technologies like virtual worlds requires faculty to think in terms of learning archetypes. As faculty plan for activities and ways to manage attention in activity-based learning environments, they will think in terms of building around avatars, engaged in finding things, and responding to critical incidences. In doing so, teaching and learning grows around visual stimulation, engagement, collaborative motivation, personal interest, context in the subject matter, and “contemporarity” of the learning environment. The process for teaching in virtual worlds mirrors other emerging technology. Educators need to lead by example, using the technology themselves to build their expertise. They must garner support from their stakeholders and create and engage in professional development courses that focus on virtual worlds so they can prepare and be prepared for delivering in the environment.

Argues that there are two strands in the organizational learning (OL) literature marked by incompatible world views. The dominant substance is modernist while the spirit is interpretive. The focus on systems, in the form of learning loops and systems archetypes, identifies an acceptance of the tenets of modernism. The spirit offers an innovative view of management and contradicts the modernist substance. Drawing on contemporary hermeneutics, the spirit leads to a different conception of the organization, the role of management, and OL. Organizations comprise communities with different interests and understandings. Both organizational problems and solutions reflect people’s understanding. Co‐operation involves establishing mutual interests and is achieved through discourse that builds communities of understanding. Concludes that an important role of managers is to facilitate discourse, and organizational learning occurs in communities of discourse.

In a rapidly changing business environment, the need to constantly adapt is deemed essential to maintain competitive advantage. This requires an optimum balance of quantitative and qualitative measures to monitor progress and performance. This paper provides a framework of thought process that will guide practitioners in developing better qualitative measures and seeks to answer three essential questions: thought process 1 – what is the nature of reality? Provides the answer to the question, can the phenomenon be realistically measured? Thought process 2 – what are the processes used for constructing the measure? Provides answer to the question, are the processes appropriate and sufficiently influential? Thought process 3 – what usefulness and power does this measure provide? Provides answer to the question, is it powerful in a practical environment? The framework was applied to measurement in learning organization contexts and ten models were reviewed. Conclusions cover deficiencies in the models and suggestions on how they might be improved.