Modeling systems thinking in action among higher education leaders with fuzzy multi-criteria decision making

The college and university systems are more complex and required persistent approach towards adoption and transformation. Highly vulnerable environment portrays the need to visualize the regular and strategic issues with the larger perspectives as a whole and develop a model which is more focused towards sustainability and reformation. The current study has attempted to conceptualize systems thinking in action model which consists of four stages of action cycle; diagnosis and analysis, modeling, intervention and review and lessons learned. This is attempting to evaluate the systems thinking among the educational leaders in higher education in Thailand through the fuzzy multi-criteria decision-making method. The study has found that leaders are adopting systems thinking in the moderate level, however, the first three stages are found less in practice and more in perceived importance. The study found that there is higher need of calling for collaborative, cooperative and participation of stakeholders’ involvement. The study has further given managerial implications

Regionalized implementation strategy of smart automation within assembly systems in China

Produzierende Unternehmen in aufstrebenden Nationen wie China, sind bestrebt, die Produktivität der Produktion durch eine Verbesserung der Lean Produktion mit disruptiven Technologien zu erreichen. Smart Automation ist dabei eine vielversprechende Lösung, allerdings können Unternehmen aufgrund von mangelnden Ressourcen oft nicht alle Smart Automation Technologien gleichzeitig implementieren. Ebenso beeinflusst eine Vielzahl an Einflussfaktoren, wie z.B. Standortfaktoren. Dementsprechend herausfordernd ist die Auswahl und Priorisierung von Smart Automation Technologien in Form von Einführungsstrategien für produzierende Unternehmen. Der Stand der Forschung untersucht nur unzureichend die Analyse der Interdependenzen zwischen Standortfaktoren, Smart Automation Technologien und Key Performance Indikatoren (KPIs). Darüber hinaus mangelt es an einer Methode zur Ableitung der Einführungsstrategie von Smart Automation Technologien unter Berücksichtigung dieser Interdependenzen. Entsprechend trägt diese Arbeit dazu bei, eine regionalisierte Einführungsstrategie von Smart Automation Technologien in Montagesystemen zu ermöglichen. Zunächst werden die Standortfaktoren, Smart Automation Technologien und KPIs identifiziert. In einem zweiten Schritt werden, mit Hilfe von qualitativen und quantitativen Analysen, die Interdependenzen bestimmt. Anschließend werden diese Interdependenzen auf ein Montagesystem mittels hybrider Modellierung und Simulation übertragen. Im vierten Schritt wird eine regionalisierte Einführungsstrategie durch eine Optimierung und eine Monte-Carlo-Simulation abgeleitet. Die Methodik wurde im Rahmen des deutsch-chinesischen Forschungsprojekts I4TP entwickelt, das vom Bundesministerium für Bildung und Forschung (BMBF) unterstützt wird. Die Validierung wurde erfolgreich mit einem produzierenden Unternehmen in Beijing durchgeführt. Die entwickelte Methodik stellt einen neuartigen Ansatz zur Entscheidungsunterstützung bei der Entwicklung einer regionalisierten Einführungsstrategie für Smart Automation Technologien in Montagesystemen dar. Dadurch sind produzierende Unter-nehmen in der Lage, individuelle Einführungsstrategien für disruptive Technologien auf Basis wissenschaftlicher und rationaler Analysen effektiv abzuleiten

A Proposed Selection Process in Over-The-Top Project Portfolio Management

Purpose: The purpose of this paper is to propose an over-the-top (OTT) initiative selection process for communication service providers (CSPs) entering an OTT business. Design/methodology/approach: To achieve this objective, a literature review was conducted to comprehend the past and current practices of the project (or initiative) selection process as mainly suggested in project portfolio management (PPM). This literature was compared with specific situations and the needs of CSPs when constructing an OTT portfolio. Based on the contrast between the conventional project selection process and specific OTT characteristics, a different selection process is developed and tested using group model-building (GMB), which involved an in-depth interview, a questionnaire and a focus group discussion (FGD). Findings: The paper recommends five distinct steps for CSPs to construct an OTT initiative portfolio: candidate list of OTT initiatives, interdependency diagram, evaluation of all interdependent OTT initiatives, evaluation of all non-interdependent OTT initiatives and optimal portfolio of OTT initiatives. Research limitations/implications: The research is empirical, and various OTT services are implemented; the conclusion is derived only from one CSP, which operates as a group. Generalization of this approach will require further empirical tests on different CSPs, OTT players or any firms performing portfolio selection with a degree of interdependency among the projects. Practical implications: Having considered interdependency, the proposed OTT initiative selection steps can be further implemented by portfolio managers for more effective OTT initiative portfolio construction. Originality/value: While the previous literature and common practices suggest ensuring the benefits (mainly financial) of individual projects, this research accords higher priority to the success of the overall OTT initiative portfolio and recommends that an evaluation of the overall portfolio should occur prior to individual evaluation. Consequently, certain initiatives may not provide direct individual benefits. Those initiatives should remain within the portfolio because they are needed for the success of other initiatives.Peer Reviewe

Meta Modeling for Business Process Improvement

Conducting business process improvement (BPI) initiatives is a topic of high priority for today’s companies. However, performing BPI projects has become challenging. This is due to rapidly changing customer requirements and an increase of inter-organizational business processes, which need to be considered from an end-to-end perspective. In addition, traditional BPI approaches are more and more perceived as overly complex and too resource-consuming in practice. Against this background, the paper proposes a BPI roadmap, which is an approach for systematically performing BPI projects and serves practitioners’ needs for manageable BPI methods. Based on this BPI roadmap, a domain-specific conceptual modeling method (DSMM) has been developed. The DSMM supports the efficient documentation and communication of the results that emerge during the application of the roadmap. Thus, conceptual modeling acts as a means for purposefully codifying the outcomes of a BPI project. Furthermore, a corresponding software prototype has been implemented using a meta modeling platform to assess the technical feasibility of the approach. Finally, the usability of the prototype has been empirically evaluated

CODIFICATION OF KNOWLEDGE IN BUSINESS PROCESS IMPROVEMENT PROJECTS

In times of globalization, new technologies and high market transparency, companies search for ways to raise the efficiency of their business processes and achieve long-term customer relationships. Therefore enterprises are strongly devoted to business process improvement (BPI) initiatives. However, in times of globally spanning inter-organizational business processes, conducting BPI initiatives is particularly challenging du to the necessary diverse and distributed knowledge. Successful BPI projects require the participation of a variety of employees who are directly involved in a business process. The employees have tacit process knowledge that needs to be transformed into explicit knowledge to derive improvement opportunities in a BPI project. To reach this, a set of easy to understand and well-structured BPI techniqus is required to encourage employees to participate in corresponding initiatives. Further, the codification of the results gained in such initiatives is decisive to enable their proper documentation, communication and processing. \ \ The paper at hand introduces a BPI roadmap for coordinating the structured use of BPI techniqus in a project. The roadmap is based upon a set of formal conceptual model types for codifying the results generated by each techniqu. In addition, reports are specified that process the model information and facilitate the communication and documentation of the results. The presented approach thus contributes to the systematic transformation of employees´ tacit process knowledge to explicit knowledge in the course of BPI initiatives. By applying the roadmap in a use case, its benefits for BPI initiatives are illustrated.

Techniques for Representation of Regional Clusters in Geographical In-formation Systems

This paper provides an overview of visualization techniques adapted for regional clusters presentation in Geographic Information Systems. Clusters are groups of companies and insti-tutions co-located in a specific geographic region and linked by interdependencies in providing a related group of products and services. The regional clusters can be visualized by projecting the data into two-dimensional space or using parallel coordinates. Cluster membership is usually represented by different colours or by dividing clusters into several panels of a grille display. Taking into consideration regional clusters requirements and the multilevel administrative division of the Romania’s territory, I used two cartograms: NUTS2- regions and NUTS3- counties, to illustrate the tools for regional clusters representation.Geographic Information Systems, Regional Clusters, Spatial Statistics, Geographic Data Visualisation

Russian equity market linkages before and after the 1998 crisis: Evidence from time-varying and stochastic cointegration tests

This paper examines the relationships between the Russian and other Central European (CE) and developed countries’ equity markets over the 1995-2004 period. Along with the traditional Johansen and Juselius (1990) multivariate cointegration tests, we apply novel cointegration approaches, including Gregory-Hansen (1996) test, which allows for a structural break in the relationships, as well as the newly developed stochastic cointegration test by Harris, McCabe and Leybourne (2002) and the non-parametric cointegration method of Breitung (2002). The latter tests point to a significant agreement that in the aftermath of the Russian crisis of 1998 there was an increasing degree of comovements of the Russian market with other developed markets, but not with CE developing markets. This result is further confirmed by dynamic conditional correlation modeling, which allows us to investigate graphically the evolution of comovements in the system. The results of detailed cointegration analysis suggest a. that the time-varying nature of equity markets comovements should be explicitly accounted for while modeling long run relationships b. that there is a decline in diversification benefits for foreign investors seeking to invest in Russian equities over the long horizon.Stock Market Integration; CEE Stock markets; Russian Stock Market; Cointegration

California's Arts and Cultural Ecology

Californians create, organize, and nurture one of the world's richest arts and cultural ecologies. Across diverse landscapes, they preserve traditions and unveil cutting-edge new artwork. As artists, cultural leaders, community-builders, and arts lovers, they build organizations that nurse creativity from conception through production, presentation, and participation.California's arts and cultural ecology encompasses complex ties among people, organizations, and places. An ecological approach underscores the prominence and contributions of these arts ecology components and how they can be strengthened, especially in times of economic austerity.California's arts and cultural nonprofits play an initiating and pivotal role in this ecology. They are important shapers of the state's internationally renowned cultural industries. They preserve, commission, and present a cornucopia of music, performance, heritage, and visual arts to people in all of the state's regions, across age groups and ethnicities at all levels of income and wealth.Our study documents the budget size, disciplinary focus, and intrinsic and economic impacts of nearly 11,000 California arts and cultural nonprofits, mapping them onto cities and regions. We use new data from the California Cultural Data Project, The National Center for Charitable Statistics, the American Community Survey, the Survey of Public Participation in the Arts, and Impact Analysis for Planning. To explore causal connections, we correlate elements of this mosaic with community characteristics. We detail how people work for the sector, volunteer, and make financial contributions. We show the overall impact of people and organizations on California's economy in terms of jobs, income, output, and state and local tax revenue. With interview data, we offer qualitative insights into governance, interorganizational relationships, and special challenges for small nonprofits. California's nonprofit arts and cultural organizationsCalifornia hosts more nonprofit arts and cultural organizations than do most of the world's nations. Their ranks include multipurpose cultural centers, science and visual arts museums, symphony orchestras and folk ensembles, artist service organizations, ethnic arts groups, literary societies, dance companies, professional associations, and many more. Some have no formal budgets, do little fundraising, and operate chiefly on energetic contributions of volunteers. Others manage sizable budgets with extensive staff, run large productions and venues, and rely less on volunteers.California's nearly 11,000 arts and cultural nonprofits operate across the state's regions. Smaller organizations vastly outnumber large ones, with 85% of organizational budgets falling under $250,000 and 48$25,000. Yet California's nonprofits have a much larger footprint than formal budgets convey, because at all budget sizes, they engage the services of substantial numbers of volunteers and receive in-kind contributions of time and materials uncommon in public and for-profit sectors.Reflecting California's ethnic diversity and its immigrant character, 22% of California's arts and cultural nonprofits focus on ethnic, folk arts, and multidisciplinary work. Another fifth focus on humanities, legacy, and other museums. Visual arts organizations, including art museums, comprise 5% of California nonprofits, but 10% of those with budgets over $10 million

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

Measurements, Algorithms, and Presentations of Reality: Framing Interactions with AI-Enabled Decision Support

Bringing AI technology into clinical practice has proved challenging for system designers and medical professionals alike. The academic literature has, for example, highlighted the dangers of black-box decision-making and biased datasets. Furthermore, end-users’ ability to validate a system’s performance often disappears following the introduction of AI decision-making. We present the MAP model to understand and describe the three stages through which medical observations are interpreted and handled by AI systems. These stages are Measurement, in which information is gathered and converted into data points that can be stored and processed; Algorithm, in which computational processes transform the collected data; and Presentation, where information is returned to the user for interpretation. For each stage, we highlight possible challenges that need to be overcome to develop Human-Centred AI systems. We illuminate our MAP model through complementary case studies on colonoscopy practice and dementia diagnosis, providing examples of the challenges encountered in real-world settings. By defining Human-AI interaction across these three stages, we untangle some of the inherent complexities in designing AI technology for clinical decision-making, and aim to overcome misalignment between medical end-users and AI researchers and developers