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The purpose of this paper is to show that lesson study by including elements from music and music education can sustainably expand and improve the dialogical space for teaching…
Abstract
Purpose
The purpose of this paper is to show that lesson study by including elements from music and music education can sustainably expand and improve the dialogical space for teaching and learning in higher education, especially for primary and secondary teacher education students.
Design/methodology/approach
For the first time under the topic “Lesson Study: Music in Dialogue,” corresponding study programs were prepared at the University College of Teacher Education, Lower Austria. The data material from which answers to research questions can be generated are the “Didactic Design Pattern” and classical research lesson planning, observation and discussion instruments. Moreover, discussion protocols of the reflection meetings offered insights the participants gained through sharing their experience of a series of lesson study cycles including focussed collaboration between mentors, teachers, teacher education students and primary school pupils.
Findings
Within the lesson study groups, the space for cooperation and dialogue widened considerably and the interest in the work and expertise of each other increased. Based on the principles of a “community of practice,” this study shows the positive effects of professional collaboration on primary and secondary teacher education students and a lasting impact on their pupils’ learning. Thereby, the dialogical principle was found to play a central and important role. In connection with music- and art-related processes, previous limitations in teaching and learning with music can be exceeded for pupils, teacher education students and teachers.
Research limitations/implications
This study, therefore, provides new insights into questions of organization and implementation, as well as scientific and didactic support in professional learning communities.
Originality/value
So far, there has been little practitioner research through lesson study in the field of music education. In particular, lesson study enhancing the cooperation between music education and other subject areas through dialogical-integrative work has brought about knowledge and insights of great importance for the further development of an appropriate didactic approach in dialogic music education.
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Dongping Cao, Xuejiao Teng, Yanyu Chen, Dan Tan and Guangbin Wang
This study aims to explore how project-based firms, which generally organize most of their work around temporary projects in discontinuous and fragmented types of business…
Abstract
Purpose
This study aims to explore how project-based firms, which generally organize most of their work around temporary projects in discontinuous and fragmented types of business contexts, proactively formulate and implement digital transformation strategies under institutional pressures in a predigital era.
Design/methodology/approach
An exploratory case study was conducted in a large-scale construction company in China using multiple data collection methods, including semistructured interviews, documentation collection and observation.
Findings
An integrated framework is developed to conceptualize three key dimensions of digital transformation strategies of project-based firms: strategic adaptation for organization-environment fit through balancing the internal efficiency needs with the external legitimacy pressures; proactive business transformation through comprehensively managing the roles of digital technologies in optimizing defined business processes and fostering new business models; and delicate organizational transformation to integrate temporary project-level operation processes with ongoing firm-level business processes.
Originality/value
This study represents an exploratory effort to empirically investigate how project-based firms strategically organize complex digital transformation imperatives in their discontinuous and fragmented business contexts. The findings contribute to deepened understandings of how complex organizational and environmental contexts can be comprehensively managed for systemic business and organizational transformations to leverage the value of emerging digital technologies for project-based organizations.
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Luís Jacques de Sousa, João Poças Martins, Luís Sanhudo and João Santos Baptista
This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase…
Abstract
Purpose
This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase, construction companies must assess the scope of each task and map the client’s expectations to an internal database of tasks, resources and costs. Quantity surveyors carry out this assessment manually with little to no computer aid, within very austere time constraints, even though these results determine the company’s bid quality and are contractually binding.
Design/methodology/approach
This paper seeks to compile applications of machine learning (ML) and natural language processing in the architectural engineering and construction sector to find which methodologies can assist this assessment. The paper carries out a systematic literature review, following the preferred reporting items for systematic reviews and meta-analyses guidelines, to survey the main scientific contributions within the topic of text classification (TC) for budgeting in construction.
Findings
This work concludes that it is necessary to develop data sets that represent the variety of tasks in construction, achieve higher accuracy algorithms, widen the scope of their application and reduce the need for expert validation of the results. Although full automation is not within reach in the short term, TC algorithms can provide helpful support tools.
Originality/value
Given the increasing interest in ML for construction and recent developments, the findings disclosed in this paper contribute to the body of knowledge, provide a more automated perspective on budgeting in construction and break ground for further implementation of text-based ML in budgeting for construction.
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James Windle, Graham Cambridge, James Leonard and Orla Lynch
This paper aims to explore how the Celtic Tiger economic boom and Great Recession influenced drug and alcohol use in one Irish city.
Abstract
Purpose
This paper aims to explore how the Celtic Tiger economic boom and Great Recession influenced drug and alcohol use in one Irish city.
Design/methodology/approach
Semi-structured interviews were conducted with 48 people, living in Cork City, who had previously used drugs and/or alcohol problematically. All participants had engaged with services for their problematic use and had at least one year of abstinence at time of interview.
Findings
Some participants reported that their drug and/or alcohol consumption increased during the economic boom; others, who were already in (self-defined) active addiction, reported how full employment lessened some of the harms of their problematic use. For others, problematic use struck once the economy entered a downturn and, heavy drink and drug use became a means of soothing the strains of economic recession.
Originality/value
The paper provides two key contributions. Methodologically, it demonstrates how large-scale national quantitative data can mask local idiosyncratic tendencies, suggesting the need for mixed-method approaches for understanding drug market trends. The paper also provides insights into the impact of global and local economic conditions on drug and alcohol consumption in Ireland.
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Adebayo Agbejule and Lassi Lehtineva
The aim of the study is to explore how the different combinations of traditional and agile project management (APM) enhance project success under different levels of teamwork…
Abstract
Purpose
The aim of the study is to explore how the different combinations of traditional and agile project management (APM) enhance project success under different levels of teamwork quality.
Design/methodology/approach
The study used system approach, using cluster analysis, to examine the relationships between project success and traditional project management (TPM) and APM under different levels of teamwork quality. A cluster analysis approach provides a method to examine how the entire range of variables combine to improve project success.
Findings
The results of the study revealed three profiles of project managers’ differences in teamwork quality and type of project management used: pure agile, TPM leaning hybrid and APM (APM) leaning hybrid. The results found evidence that TPM leaning hybrid received the highest score in project success.
Practical implications
Organizations should develop teamwork skills to learn to use both TPM and APM so that specific risks presented by one approach use are compensated by the use of other. Finally, organizations should have good TPM practices before planning to implement agile practices.
Originality/value
The findings of this study suggest that TPM with high teamwork quality supported by APM can enhance project success. APM supported by TPM contributes to improved project success.
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This paper considers supply chain management organizations with the aid of 'chaotic systems theory' developed originally in physics and mathematics. Since innovations in supply…
Abstract
This paper considers supply chain management organizations with the aid of 'chaotic systems theory' developed originally in physics and mathematics. Since innovations in supply chain management are vital for organizational survival 'complex systems theory' may assist in fine-tuning managerial philosophies that provide stability in supply chain management because it is on the boundary of chaos that the greatest innovational creativity occurs. Neither 'management by rigid objectives' (MBO) nor 'management by instruction' (MBI) will be suitable for the information society of the twenty-first century because chaotic social systems will no longer be effectively managed. However, the capacity for self-organization will be derived essentially from how supply chain management members accept a shared set of values or principles for action-'management by values' (MBV). Complex systems theory deals with systems that show complex structures in time or space, often hiding simple deterministic rules. This theory holds that once these rules are found, it is possible to make effective predictions and even to control the apparent complexity. The state of chaos that self-organizes is attributable to the appearance of the 'strange attractor' and provides the ideal basis for creativity and innovation in the twenty-first century. In the self-organized state of chaos, social members are not confined to narrow roles and gradually develop their capacity for differentiation and relationships, growing progressively towards their maximum potential contribution to the efficiency of the organization. In this meaning, values act as organizers of 'attractors' of disorder, which, in the theory of chaos, are systems represented by usually regular geometric configurations that predict the long-term behavior of complex systems. In supply chain management organizations (as in all kinds of social systems) the initial principles end up as the final principles in the long term. An attractor is a model representation of the behavioral results of the system. The attractor is not a force of attraction or a goal-oriented presence in the system; it simply depicts where the system is heading based on its rules of motion. In supply chain management organizations that cultivate or shares values of autonomy, responsibility, independence, innovation, creativity, and proactivity, the risk of short-term chaos is mitigated by external complexities that organizations are currently confronting. The strategy is to alter the supply chain management's surroundings so that they can benefit from management by values (MBV).
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This study aims to introduce an alternative model, “volatility, uncertainty, complexity and ambiguity (VUCA), Virtue and Vice” (3V’s), to unleash leadership skills, promote…
Abstract
Purpose
This study aims to introduce an alternative model, “volatility, uncertainty, complexity and ambiguity (VUCA), Virtue and Vice” (3V’s), to unleash leadership skills, promote organisational collaborative change and impact sales performance during an unprecedented crisis.
Design/methodology/approach
The methodology outlines action research based on the 3V’s model and its application in an international business-to-business sales organisation during Covid-19. It explores alternative paths informed by play-at-work and Plato’s philosophy applied to work-based-learning. Each action/iteration adds to the model, which becomes more likely appropriate for various situations.
Findings
The 3V’s boosted change implementation and improved sales performance. The 3V’s conceptualised an invitation to immerse oneself in the constant “river of change” (VUCA) and a means of understanding the role of leadership in navigating this change by embracing simple rules: searching for justice (Virtue) and overcoming the barrier of public opinion (Vice).
Research limitations/implications
The 3V’s model is grounded in leadership literature and a sole application, providing real international data relevant to organisations and leaders. This has yet to be evaluated further.
Practical implications
3V’s can enhance the understanding of a leading collaborative change and re-frame team dynamics in post-pandemic times for the broader public.
Social implications
The approach advocated is a practice of “swimming alongside the team”, which should enable empowerment and collaboration rather than a top-down direction. Focussing on leaders who are moral people, this approach becomes a differentiator in a digital world.
Originality/value
This study examines Plato’s philosophy, play-at-work and other leadership theories in a model which prepares organisations to respond to crisis by providing the ability to reflect on human aspects and straightforward, transferable skills.
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