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Open Access
Article
Publication date: 19 April 2024

Robert Wagenaar

Key to transnational higher education (HE) cooperation is building trust to allow for seamless recognition of studies. Building on the Tuning Educational Structures initiative…

Abstract

Purpose

Key to transnational higher education (HE) cooperation is building trust to allow for seamless recognition of studies. Building on the Tuning Educational Structures initiative (2001) and lessons learnt from the Organisation for Economic Cooperation and Development (OECD)-Assessment of Learning Outcomes in Higher Education (AHELO) feasibility study, this paper offers a sophisticated approach developed by the European Union (EU)-co-financed project Measuring and Comparing Achievements of Learning Outcomes in Europe (CALOHEE). These evidence the quality and relevance of learning by applying transparent and reliable indicators at the overarching and disciplinary levels. The model results allow for transnational diagnostic assessments to identify the strength and weaknesses of degree programmes.

Design/methodology/approach

The materials presented have been developed from 2016 to 2023, applying a bottom-up approach involving approximately 150 academics from 20+ European countries, reflecting the full spectrum of academic fields. Based on intensive face-to-face debate and consultation of stakeholders and anchored in academic literature and wide experience.

Findings

As a result, general (overarching) state-of-the-art reference frameworks have been prepared for the associated degree, bachelor, master and doctorate, as well as aligned qualifications reference frameworks and more detailed learning outcomes/assessment frameworks for 11 subject areas, offering a sound basis for quality assurance. As a follow-up, actual assessment formats for five academic fields have been developed to allow for measuring the actual level of learning at the institutional level from a comparative perspective.

Originality/value

Frameworks as well as assessment models and items are highly innovative, content-wise as in the strategy of development, involving renown academics finding common ground. Its value is not limited to Europe but has global significance. The model developed, is also relevant for micro-credentials in defining levels of mastery.

Details

Journal of International Cooperation in Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2755-029X

Keywords

Open Access
Article
Publication date: 18 February 2022

Tiziana Russo-Spena, Marco Tregua, Anna D'Auria and Francesco Bifulco

The paper offers a comprehensive understanding of how digital transformation affects business models and how firms operate and compete effectively and successfully in a digital…

4120

Abstract

Purpose

The paper offers a comprehensive understanding of how digital transformation affects business models and how firms operate and compete effectively and successfully in a digital economy.

Design/methodology/approach

The research adopted an abductive approach (Dubois and Gadde, 2002) through constant movement between theory and empirical evidence. A systematic literature review led the first conceptual development and examples of practices from cultural heritage sectors were used in the theorizing process.

Findings

This paper depicts a digital model framework through a set of assumptions about how an organization creates and delivers value in an interconnected way by orchestrating new interactive processes, and providing experience propositions to customers, and about how value is framed in terms of economic, social and cultural outcomes.

Originality/value

The study contributes to the scientific debate by discussing the role of digital business models as enhancements more rather than replacements of traditional business models; it frames a digital business model as consisting of three main pillars: value orchestration, experience propositions and value sharing.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 28 no. 8
Type: Research Article
ISSN: 1355-2554

Keywords

Open Access
Article
Publication date: 5 June 2017

Guenther Botschen, Kurt Promberger and Josef Bernhart

This paper aims to present an interdisciplinary approach for the development and design of place brands, which goes far beyond communication strategies and advertising campaigns…

5449

Abstract

Purpose

This paper aims to present an interdisciplinary approach for the development and design of place brands, which goes far beyond communication strategies and advertising campaigns. The so-called “Brand-driven Identity Development of Places” (short: BIDP) approach provides a structured three-phase model that can serve as a practical guide for the development of commercial, touristy, urban and rural places.

Design/methodology/approach

Longitudinal collaborative action research over a time span of 20 years plus extended case study research supported the evolution of the BIDP approach.

Findings

BIDP is a circular three-phase model starting with the definition of the intended place brand identity, which in Phase 2 becomes translated into concrete touchpoint experiences along the main constituents of the place, and finally materialising into the new place format. The case study of the City of Innsbruck is prototypically used to illustrate the application of the designed approach and to report achieved results.

Research limitations/implications

Place brand development based on translating socio-cultural meanings into touchpoint experiences to materialise and align place constituents is opening up new avenues to initiate and govern place development. At present, the approach is based on case studies in the western region of Austria and South Tyrol.

Practical implications

The three-phase model represents a practical tool for place brand managers, who want to renew and to develop their place format in a structured way. The BIDP model can be applied for all forms of places.

Social implications

Foremost, the described place branding collaborations reassure the proposition of Olins (2002) and Schmidt (2007) that place branding is a crucial internal project that unites groups of people around a common strategic vision providing sense and direction besides reaching out to the traditional customer–stakeholder audience.

Originality/value

A structured model for brand-driven place development, which evolved during 20 years of longitudinal collaborative action research with executives and representatives of commercial, touristy, urban and rural places, BIDP locks into anthropological research findings where cultural meanings are considered as the main source for the construction of brand identities.

Details

Journal of Place Management and Development, vol. 10 no. 2
Type: Research Article
ISSN: 1753-8335

Keywords

Open Access
Article
Publication date: 7 July 2022

Kirsi Aaltonen and Virpi Turkulainen

In this study, we develop further understanding of how institutional change is created within a mature and local industry. In this pursuit, we examine how a collaborative large…

2230

Abstract

Purpose

In this study, we develop further understanding of how institutional change is created within a mature and local industry. In this pursuit, we examine how a collaborative large project governance model was institutionalized at an industrial sector-level through both industry-level activities and “institutional projects”.

Design/methodology/approach

This study builds on the foundations of institutional fields and institutional change, suggesting that projects are not only shaped by their contexts but also produce institutional change themselves. We conducted extensive fieldwork on the institutionalization of a collaborative project governance model in Finland.

Findings

The findings illustrate how institutional change in governance of large and complex inter-organizational projects is created at the institutional field level. The institutionalized collaborative project governance model includes aspects of both relational and contractual governance. The change was facilitated by temporal links between the institutional projects as well as vertical links between the institutional projects and the field-level development programs.

Originality/value

This is one of the first studies to address how a collaborative large project governance model becomes the norm at the institutional field level beyond the boundaries of an individual project or organization.

Details

International Journal of Operations & Production Management, vol. 42 no. 8
Type: Research Article
ISSN: 0144-3577

Keywords

Open Access
Book part
Publication date: 12 June 2023

Peter Robinson

Abstract

Details

How Gay Men Prepare for Death
Type: Book
ISBN: 978-1-83909-587-0

Open Access
Article
Publication date: 12 October 2021

Kiran Fahd, Shah Jahan Miah and Khandakar Ahmed

Student attritions in tertiary educational institutes may play a significant role to achieve core values leading towards strategic mission and financial well-being. Analysis of…

3808

Abstract

Purpose

Student attritions in tertiary educational institutes may play a significant role to achieve core values leading towards strategic mission and financial well-being. Analysis of data generated from student interaction with learning management systems (LMSs) in blended learning (BL) environments may assist with the identification of students at risk of failing, but to what extent this may be possible is unknown. However, existing studies are limited to address the issues at a significant scale.

Design/methodology/approach

This study develops a new approach harnessing applications of machine learning (ML) models on a dataset, that is publicly available, relevant to student attrition to identify potential students at risk. The dataset consists of the data generated by the interaction of students with LMS for their BL environment.

Findings

Identifying students at risk through an innovative approach will promote timely intervention in the learning process, such as for improving student academic progress. To evaluate the performance of the proposed approach, the accuracy is compared with other representational ML methods.

Originality/value

The best ML algorithm random forest with 85% is selected to support educators in implementing various pedagogical practices to improve students’ learning.

Open Access
Article
Publication date: 17 October 2022

Marta Piria, Mara Gorli and Giuseppe Scaratti

The study refers to a health-care organization engaged in adopting “home health care” as a new object of activity. This study aims to explore how the reconfiguration of the object…

Abstract

Purpose

The study refers to a health-care organization engaged in adopting “home health care” as a new object of activity. This study aims to explore how the reconfiguration of the object influences the transformative perspective, affecting not just a service but a broader approach and meaning behind patient care. It also investigates the main contradictions at play and the levers to support inter-organizational learning while facing the new challenges and change processes.

Design/methodology/approach

The work is based on a qualitative and ethnographic methodology directed to examine cultural, practical and socio-material aspects. The activity theory is assumed as a powerful approach to understand collective learning and distributed agency processes.

Findings

The renewal of the new object of work is analyzed as a trigger for shifts in representations, cultural processes and collective support implemented by the organization. Three agentic trajectories – technical, dialogical and collaborative agency – were cultivated by the management to deliver home health care through joint exercises of coordination and control, dialogical spaces and collaborative process.

Research limitations/implications

The data collection was disrupted by the pandemic. A follow-up study would be beneficial to inquire how the learning processes shifted or were influenced by the contextual changes.

Practical implications

This contribution provides a practical framework for health-care organizations aiming to navigate and explore the physiological tensions and contradictions emerging when the object of work is changed.

Originality/value

The paper develops the field of intra- and inter-organizational learning by presenting an intertwined and structural connection between these processes and the renewing of the object of work. It advises that processes of transformation must be handled with attention to the critical and collective dynamics that accompany sustainable and situated changes.

Details

Journal of Workplace Learning, vol. 35 no. 3
Type: Research Article
ISSN: 1366-5626

Keywords

Open Access
Article
Publication date: 28 February 2023

Giacomo Pigatto, Lino Cinquini, Andrea Tenucci and John Dumay

This study aims to explore the serendipitous discovery of integrated reporting (IR) by Alpha, an Italian small and medium-sized enterprise (SME). Alpha piqued the curiosity when…

1611

Abstract

Purpose

This study aims to explore the serendipitous discovery of integrated reporting (IR) by Alpha, an Italian small and medium-sized enterprise (SME). Alpha piqued the curiosity when the authors discovered that it experimented with IR alongside other management accounting practices, such as the Balanced Scorecard. As the authors reflected on Alpha’s experiences, the authors had to opportunistically develop a new framework to understand the change that was taking place at Alpha fully. Thus, the authors developed the serendipitous drift framework. This study contributes to addressing the gap between management accounting research that sees change as a planned, ordered process versus research that sees it as an unmanageable drift.

Design/methodology/approach

The authors ground the research on a qualitative methodology based on a single case study. This methodology allows us to focus on understanding what has happened at Alpha to discover new themes and provide theoretical generalisations. The authors developed the framework using middle-range thinking and fleshed it out using empirical findings from the case study. Middle-range thinking implies going back and forth between the theory and the empirical material. Therefore, the authors develop the serendipitous drift framework from prior theories and use it to inform the empirical study. In turn, the empirical material collected in Alpha helps refine and flesh out the serendipitous drift framework. The framework explains how Alpha leveraged serendipity to steer change towards favourable outcomes for them.

Findings

The authors find that the search for change undertaken by Alpha’s managers was non-specific but purposeful. Their dispositions were sagacious enough to recognise the potential value found in management accounting practices, such as IR and the Balanced Scorecard. They chanced upon new and unforeseen practices through trial and error, iteration, internal engagement and networking.

Research limitations/implications

Overall, the results indicate that Alpha’s managers shaped the disorder of management accounting changes, even though it followed unexpected, uncertain and messy paths. Indeed, appropriate informal controls can act as a frame of reference for choosing, adapting and implementing new management accounting practices to shape the disorder. Informal controls can both guide and bound the experimentation process towards desirable outcomes.

Originality/value

The authors contribute to management accounting change theory by developing a framework rooted in serendipity and drifting theories. The framework identifies how searching, sagacity and chance are essential for making positive, unexpected discoveries. Therefore, the authors provide novel insights on how and why IR and other management accounting practices are eventually translated and adopted in the case company. Moreover, the serendipitous drift framework has the potential to help managers frame cultural controls to actively seek opportunities for valuable serendipitous eureka moments through networking and experimentation.

Details

Meditari Accountancy Research, vol. 31 no. 7
Type: Research Article
ISSN: 2049-372X

Keywords

Abstract

Details

Sameness and Repetition in Contemporary Media Culture
Type: Book
ISBN: 978-1-80455-955-0

Open Access
Article
Publication date: 31 July 2023

Daniel Šandor and Marina Bagić Babac

Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning…

3105

Abstract

Purpose

Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning.

Design/methodology/approach

For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared.

Findings

The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models.

Originality/value

This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.

Details

Information Discovery and Delivery, vol. 52 no. 2
Type: Research Article
ISSN: 2398-6247

Keywords

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