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This study analyses development of research-related innovation activities in a University of Applied Sciences (UAS) in Finland. Focus on production of innovations in relation to academization challenges the traditions of applied research in UAS, which has always relied on collaboration with local stakeholders.

Drawing on the approach of cultural-historical activity theory, the study conceptualizes development of innovation activities as a movement across multiple intertwined developmental lines. The authors ground these conceptualizations in the data, coming from interviews with key researchers in a multidisciplinary research project on smart bioeconomy at a Finnish UAS.

Development of research-related innovation activities in the UAS happened along six lines: development of researcher's expertise, development of project, development of organization, development of research, development of field and development of funding models and policies. The developmental tensions between the lines were essential for promotion of innovation activities.

The study reveals the complex multilayered nature of research-related innovation activities in the specific context of UAS, where it creates challenges and opportunities for developing the traditions of applied research. The results encourage UAS to critically evaluate their changing role as research institutions in regional, national and international innovation systems.

The purpose of this paper is to explore how Austrian public universities (APUs) respond to the challenge of maintaining academic freedom while complying with legal requirements and enhancing competitiveness by using Management Control Systems (MCSs). Specifically, it examines how APUs respond to the co-presence of academic, government and business logic.

The perspective of institutional logics as a theoretical lens and the framework of MCSs by Malmi and Brown (2008) serve to analyse how APUs respond to the existence of different institutional field-level logics. In-depth expert interviews from the perspective of APUs’ research management are conducted to identify the applied management control practices (MCPs) and APUs’ responses to the different institutional field-level logics.

This study identifies how academic, government and business logic are represented in field-level-specific MCPs and field-level-specific corresponding narratives. Reflecting upon APUs’ responses to the co-existence of academic and government logic, compliance or rather, selective coupling with government logic or decoupling from government logic became obvious.

To the best of the authors’ knowledge, this is the first study at higher education institutions representing academic, government and business logic in the applied MCPs in research management. The study reveals that APUs have developed specific responses and narratives regarding the existence of different institutional field-level logics.

Busan (Pusan), Korea’s second largest city (population 3.6 million) and fifth busiest port in the world, is experiencing rapidly increasing trade, global connections, events, and resulting infrastructural projects. What should Busan do to better handle the social, political, and economic complexities brought by these changes?

To answer this question, this paper explores the relationship of globalization and culture, as treated by cultural anthropology. It also considers how the tools of applied social science and anthropology can be mobilized to help Busan and the southeast region of Korea deal with these challenges.

After introducing anthropological treatments of culture, globalization and global problems, I discuss how applied social science/anthropology is used in international business/trade, tourism, and transport/logistics, especially the third area. To show how applied social science can help transportation and logistics projects in Busan and Korea, I present lessons from case studies and examples in Denver, Colorado Springs, Chuuk (Truk, South Pacific), and Korea.

Applied social science and applied anthropology present a wealth of helpful methods and insights to help Busan and Korea improve planning, public participation, political, social and environmental issues in transport and logistics projects, and to help prevent ethical and budgetary lapses. Finally, I offer suggestions for initial training programs and future studies to help expedite these goals.

The aim of this paper is to show how a bank's brand value is quantitatively assessed using the Interbrand methodology, taking into account the specifics of the banking market. Therefore, the objective of this paper is to review the ways in which brands contribute to the higher market value of banks by strengthening intellectual capital (IC), as reflected in increased levels of competitiveness and the reputation that the bank maintains in the minds of customers.

This paper applies the Interbrand methodology, which indicates that the assessment of brand value implies the determination of economic profit as the difference between the net operating profit after tax and the cost of capital. The brand profit is then calculated as the product of the economic profit and the index of the brand role. Brand value is obtained as the product of the brand's profit and the discount rate of the brand. In order to further test the results obtained through the application of the Interbrand methodology, linear regression was applied to the panel data in order to provide more efficient econometric estimates of the model parameters.

This research has shown that the Interbrand methodology's empirical foundations lie in the Montenegrin banking market, but also that, out of all of the analyzed parameters, the greatest significance is obtained from the profit of the brand, which influences the value of bank brands.

This research is related to the service sector–in this case, financial services – meaning that it is necessary to adjust the calculation of the weighted average cost of capital. Although the banking sector is a very competitive market, a limitation exists in the fact that the research was conducted only in Montenegro. In other words, in order to achieve a more detailed analysis, this methodology should be applied to more countries, such as those within the Western Balkans, as they have a relatively similar level of development.

A main contribution of this paper is that the assessment of the banks' brand value could be useful to future investors. Therefore, the improvement of the financial sector–in this case, banks–as institutions that hold a dominant position in the financial market in Montenegro, is a particularly important issue. It is important to point out that the research conducted could serve as a means by which to bridge the gap between theory and practice, since the methodology of the consulting company Interbrand has been optimized and adjusted to the Montenegrin banking market.

On considering the fact that most countries of the Western Balkans are at a similar level of development, the authors can conclude that, with the help of this adapted form of methodology, this research can be applied to assess banks' brand value in neighboring countries.

This paper serves as the basis for further research as the analysis of banking institutions that comprise both marketing and financial aspects, i.e. the application of the Interbrand methodology, was not conducted in Montenegro. Also, this paper overcomes the literal gap between theory and practice as there is little research thus far involving the application of the Interbrand methodology to the field of finance; especially in the field of banking. The authors point out the specifics of the banking sector as a key explanation for this. This is why it is necessary to make certain adjustments to the methodology. The research has positive implications for banks' internal and external stakeholders. The originality of this research is reflected in the fact that the Interbrand methodology has been optimized in order to assess the brand of banks, taking into account the specificity of the analyzed market. Brand is analyzed as a component of IC: another factor that exemplifies the value of this research.

This study aims to determine how sustainable development (SD) demands (according to the United Nations Economic Commission for Europe’s (UNECE) SD themes from 2005) are connected to the contents of education, research, development and innovation (RDI) in higher education institutions (HEI). Education and the RDI nexus may affect HEI’s capability to handle SD-related wicked problems and enhance their societal impact.

This paper examined SD-oriented curricula contents of two universities (Brazil and Finland) and counted the number of SD-related research outcomes. In addition, conceptual modelling was used to analyse the mechanisms that may be directing HEIs’ SD work in local innovation.

The data showed a convergence deviation in the RDI of SD-related subjects between the two HEIs. There was no correlation between SD-oriented education and RDI-work in either HEI. Education and RDI processes have different UNECE SD themes at the focal point, and the education-research nexus is lacking. This difference indicates that new SD-related knowledge produced through RDI was not effectively used in education. Modelling revealed that the convergence in RDI outcomes arose from the same kind of local business, industry and societal challenges, implementing effective stakeholder pressures into HEIs. The results may indicate that stakeholder SD needs were not directly transferred into the competence qualification of the curriculum.

To the best of the authors’ knowledge, this is the first quantitative study to reveal the independence of universities’ SD-related RDI subjects on educational curricula.

Despite the fact that chatbots have been largely adopted for the last few years, a comprehensive literature review research focusing on the intention of individuals to adopt chatbots is rather scarce. In this respect, the present paper attempts a literature review investigation of empirical studies focused on the specific issue in nine scientific databases during 2017-2021. Specifically, it aims to classify extant empirical studies which focus on the context of individuals' adoption intention toward chatbots.

The research is based on PRISMA methodology, which revealed a total of 39 empirical studies examining users' intention to adopt and utilize chatbots.

After a thorough investigation, distinct categorization criteria emerged, such as research field, applied theoretical models, research types, methods and statistical measures, factors affecting intention to adopt and further use chatbots, the countries/continents where these surveys took place as well as relevant research citations and year of publication. In addition, the paper highlights research gaps in the examined issue and proposes future research directions in such a promising information technology solution.

As far as the authors are concerned, there has not been any other comprehensive literature review research to focus on examining previous empirical studies of users' intentions to adopt and use chatbots on the aforementioned period. According to the authors' knowledge, the present paper is the first attempt in the field which demonstrates broad literature review data of relevant empirical studies.

Accounting information systems are mainly rule-based, and data are usually available and well-structured. However, many accounting systems are yet to catch up with current technological developments. Thus, artificial intelligence (AI) in financial accounting is often applied only in pilot projects. Using AI-based forecasts in accounting enables proactive management and detailed analysis. However, thus far, there is little knowledge about which prediction models have already been evaluated for accounting problems. Given this lack of research, our study aims to summarize existing findings on how AI is used for forecasting purposes in financial accounting. Therefore, the authors aim to provide a comprehensive overview and agenda for future researchers to gain more generalizable knowledge.

The authors identify existing research on AI-based forecasting in financial accounting by conducting a systematic literature review. For this purpose, the authors used Scopus and Web of Science as scientific databases. The data collection resulted in a final sample size of 47 studies. These studies were analyzed regarding their forecasting purpose, sample size, period and applied machine learning algorithms.

The authors identified three application areas and presented details regarding the accuracy and AI methods used. Our findings show that sociotechnical and generalizable knowledge is still missing. Therefore, the authors also develop an open research agenda that future researchers can address to enable the more frequent and efficient use of AI-based forecasts in financial accounting.

Owing to the rapid development of AI algorithms, our results can only provide an overview of the current state of research. Therefore, it is likely that new AI algorithms will be applied, which have not yet been covered in existing research. However, interested researchers can use our findings and future research agenda to develop this field further.

Given the high relevance of AI in financial accounting, our results have several implications and potential benefits for practitioners. First, the authors provide an overview of AI algorithms used in different accounting use cases. Based on this overview, companies can evaluate the AI algorithms that are most suitable for their practical needs. Second, practitioners can use our results as a benchmark of what prediction accuracy is achievable and should strive for. Finally, our study identified several blind spots in the research, such as ensuring employee acceptance of machine learning algorithms in companies. However, companies should consider this to implement AI in financial accounting successfully.

To the best of our knowledge, no study has yet been conducted that provided a comprehensive overview of AI-based forecasting in financial accounting. Given the high potential of AI in accounting, the authors aimed to bridge this research gap. Moreover, our cross-application view provides general insights into the superiority of specific algorithms.

The aims of the paper were to highlight the dearth of applied practitioner research concerning the expression of neurodiversity at work and develop an epistemological framework for a future research agenda.

A systematic empty review protocol was employed, with three a priori research questions, inquiring as to the extent of neurodiversity research within mainstream work psychology, psychology in general and lastly within cross-disciplinary academic research. The results of the final search were quality checked and categorized to illustrate where studies relevant to practice are currently located.

The academic literature was found to be lacking in contextualized, practical advice for employers or employees. The location and foci of extracted studies highlighted a growing science-practitioner gap.

The research focused on common neurominority conditions such as autism and dyslexia; it is acknowledged that the neurodiversity definition itself is broader and more anthropological in nature. A need for a comprehensive research agenda is articulated, and research questions and frameworks are proposed.

Guidance is given on applying disability accommodation to both individual and organizational targets.

The disability employment gap is unchanged since legislation was introduced. The neurodiversity concept is no longer new, and it is time for multi-disciplinary collaborations across science and practice to address the questions raised in this paper.

This paper offers an original analysis of the neurodiversity paradox, combining systematic inquiry with a narrative synthesis of the extant literature. The conceptual clarification offers clear directions for researchers and practitioners.

To advance marketing research and practice, this study aims to examine the application of the innovative, mobile-applicable neuroimaging method – mobile functional near-infrared spectroscopy (mfNIRS) – in the field of marketing research, providing comprehensive guidelines and practical recommendations.

A general review and investigation of when and how to use mfNIRS in business-to-consumer and business-to-business marketing settings is used to illustrate the utility of mfNIRS.

The research findings help prospective marketing and consumer neuroscience researchers to structure mfNIRS experiments, perform the analysis and interpret the obtained mfNIRS data.

The application of mfNIRS offers opportunities for marketing research that allow the exploration of neural processes and associated behaviour of customers in naturalistic settings.

The application of mfNIRS as a neuroimaging method enables the investigation of unconscious neural processes that control customer behaviour and can act as process variables for companies.

This is one of the first studies to provide comprehensive guidelines and applied practical recommendations concerning when and how to apply mfNIRS in marketing research.