Search results

In this chapter, the author explores the principles of responsible management education through the lens of Taoism. This chapter begins by introducing the concepts of knowledge-inquiry and wisdom-inquiry and highlights the differences between the two in the context of management education. The author emphasizes the importance of wisdom-inquiry in management education, arguing that it allows individuals to not only understand and analyze information but also to apply ethical considerations when making decisions. This chapter delves into how to synthesize knowledge and wisdom in education, highlighting the need for a balance between technical skills and ethical awareness in management education. This chapter concludes with an examination of the principles of managing talent by balancing competence and character. The author discusses how to hire for character and train for competence in human resources management and development. This approach involves focusing on developing individuals' character traits, such as integrity, compassion and empathy, in addition to their technical skills. This chapter demonstrates the value of incorporating Taoist principles into management education. When the importance of wisdom-inquiry, balancing competence and character, and developing ethical leaders is emphasized, management education can prepare individuals to navigate the complexities of the modern business landscape while promoting responsible business practices.

For researchers and sector agencies around the world, poor academic integrity is seen as a significant risk to universities (Bretag & Harper, 2017; QAA, 2020; TEQSA, 2019). Given the existential threat that acts of academic misconduct are deemed to pose to higher education, interest in ways of developing academic integrity is correspondingly high and often invokes the concept of values (Macfarlane et al., 2014; Morris, 2018). However, to ascribe to academic integrity, the status of a self-evident, perhaps universal, value of contemporary higher education is contentious on many levels. This chapter takes in turn three of the most common ways in which students and scholars infringe on the principles of academic integrity – plagiarism, collusion, and contract cheating – and explores what the prohibiting of each of these acts reveals about the values of contemporary higher education. It argues that, far from neutral or universal, the values of academic integrity appear both normative and culturally specific, promoting a particular conception of higher education which risks excluding large sections of the global population. To counter this, the notion of threshold values – borrowing from Meyer and Land's (2005) notion of the “threshold concept” – is proposed, identifying the development of shared values as crucial to ensuring that contemporary, globalized universities are inclusive and accessible spaces.

The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

Crafts embody the history and heritage of their country of origin and can play an essential role in the country's socioeconomic development by providing significant job opportunities for the rural population. This article investigates the significant challenges that artisan entrepreneurs face when creating, communicating and selling handcrafted goods to potential customers in emerging economies. This study attempted to rate the impediments based on their severity using the voices of artisan entrepreneurs.

A mixed-method approach combining qualitative and quantitative data analysis was followed to identify the leading causes of the artisans' pain points. In the first phase, empirical observations were gathered through focus group discussions with artisan entrepreneurs, and the identified factors were quantitatively ranked using the analytic hierarchy process in the second phase.

The mixed-method research assisted in identifying the primary constraints affecting the efficient and effective operation of the artisan-driven small handicraft business. This study identified six factors that were ranked based on the voices of artisan entrepreneurs during the survey, as barriers to effective handicraft marketing.

Few studies on the handcraft industry have sought to explore the issues faced by artisan businesses holistically. The voices of artisan entrepreneurs were gathered for this study to identify and rate the present obstacles influencing the functioning of small handicraft firms in emerging nations. Handicraft marketing will become more effective and efficient if these barriers are removed.

Finland’s globally accepted teaching practices are purely based on common sense, and holistically promote equity over excellence. “New Wine in a new bottle” literally means unlearning old thoughts and relearning new skills updated to changes in the world recouping to new trends and establishing ourselves full-fledged meeting the demand of the hour. The question of why India still doesn’t get enough Noble Prizes in required disciplines is still unanswerable. Still in India, there exist the archaic forms of the classroom setting with little room for flexibility and no educational freedom; moreover, with a highly pressurised testing environment. With the increasing population of Indian set-up, most of the teachers are underpaid and are less satisfied with the amount of effort they put in and their pay scale. A paradigm shift could be expected in India’s educational landscape post the introduction of the National Education Policy 2020; by reducing the academic workload for students and improving their holistic intelligence thereby. The NEP framework has been structured based on certain practical pedagogies from the Finnish context. The 5+3+3+4 model would encourage students to make their communication more effective, prioritising creativity, critical thinking, and personality development; say, various experts. There is a direct connection between education and poverty level in an economy. If the system lacks quality, then it would adversely affect the economic functioning of a nation. This study highlights the cases from both the Indian and Finnish contexts, clarifying the loopholes in our education system and what lessons could be incorporated from the Finnish model; so as to devise a policy at the national level for re-engineering the impoverished situations, keeping in mind sustainable architecture. This chapter is the first of its kind not ever published elsewhere and is original in nature.

Business research has highlighted the importance of knowledge transfer and innovation in multinational firms for better performance outcomes. However, the existing body of literature is characterized by differentiated theories, antecedents and outcomes. This study aims to address this gap by adopting a systematic approach to analyze knowledge transfer and innovation literature from the perspective of multinational organizations.

This study follows “preferred reporting items for systematic reviews and meta-analyses” (PRISMA) guidelines for conducting a systematic literature review. The study adopts a systematic approach for analyzing the literature using School of thought (S), Contexts (C), Methodologies (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) framework (SCM-TBFO framework) devised for holistic literature review. The study analyzes 75 articles from reputed journals from 2000 to 2022.

In general, knowledge transfer and innovation in multinationals is a relatively new area and is evolving rapidly. There are many opportunities to study the various perspectives that are included in the SCM-TBFO framework. The key schools of thought included the evolutionary theory of innovation, institutional theory and internationalization theory. The studies had differing settings or contexts, including China, Europe, the USA and Taiwan. Further, key methodologies that were used included regression, case studies, structural equation modeling (SEM) and theoretical studies. Knowledge transfer and innovation triggers included competitive advantage, competitive pressure, constant requirements for better products and services, foreign direct investment (FDI) and globalization. Knowledge transfer and innovation facilitators were categorized into strategy-related facilitators, organization culture and orientation-related facilitators, and resource-related facilitators. Knowledge transfer and innovation barriers included autonomy, international knowledge dispersion, risk of knowledge leakage, search breadth, ambiguity and institutional voids. Key outcomes of knowledge transfer and innovation in multinationals included financial performance, innovation performance, knowledge flow, transfer effectiveness, patents and new product development.

By synthesizing the literature, the study aims to provide an overview of the current state of research on knowledge transfer and innovation in multinationals. The study develops a holistic model for fostering knowledge transfer and innovation in multinationals. The proposed novel framework can also be applied to perform a holistic assessment of the current literature in various research domains. Further, the study suggests future theory development and research agendas. The study also provides implications for practitioners using the framework to achieve more desirable outcomes.

This paper covers the development of a novel defect model for concrete highway bridges. The proposed defect model is intended to facilitate the identification of bridge’s condition information (i.e. defects), improve the efficiency and accuracy of bridge inspections by supporting practitioners and even machines with digitalised expert knowledge, and ultimately automate the process.

The research design consists of three major phases so as to (1) categorise common defect with regard to physical entities (i.e. bridge element), (2) establish internal relationships among those defects and (3) relate defects to their properties and potential causes. A mixed-method research approach, which includes a comprehensive literature review, focus groups and case studies, was employed to develop and validate the proposed defect model.

The data collected through the literature and focus groups were analysed and knowledge were extracted to form the novel defect model. The defect model was then validated and further calibrated through case study. Inspection reports of nearly 300 bridges in China were collected and analysed. The study uncovered the relationships between defects and a variety of inspection-related elements and represented in the form of an accessible, digitalised and user-friendly knowledge model.

The contribution of this paper is the development of a defect model that can assist inexperienced practitioners and even machines in the near future to conduct inspection tasks. For one, the proposed defect model can standardise the data collection process of bridge inspection, including the identification of defects and documentation of their vital properties, paving the path for the automation in subsequent stages (e.g. condition evaluation). For another, by retrieving rich experience and expert knowledge which have long been reserved and inherited in the industrial sector, the inspection efficiency and accuracy can be considerably improved.

The article extends the distinction of semantic from syntactic labour to comprehend all forms of mental labour. It answers a critique from de Fremery and Buckland, which required envisaging mental labour as a differentiated spectrum.

The paper adopts a discursive approach. It first reviews the significance and extensive diffusion of the distinction of semantic from syntactic labour. Second, it integrates semantic and syntactic labour along a vertical dimension within mental labour, indicating analogies in principle with, and differences in application from, the inherited distinction of intellectual from clerical labour. Third, it develops semantic labour to the very highest level, on a consistent principle of differentiation from syntactic labour. Finally, it reintegrates the understanding developed of semantic labour with syntactic labour, confirming that they can fully and informatively occupy mental labour.

The article further validates the distinction of semantic from syntactic labour. It enables to address Norbert Wiener's classic challenge of appropriately distributing activity between human and computer.

The article transforms work in progress into knowledge for diffusion.

It has practical implications for determining what tasks to delegate to computational technology.

The paper has social implications for the understanding of appropriate human and machine computational tasks and our own distinctive humanness.

The paper is highly original. Although based on preceding research, from the late 20th century, it is the first separately published full account of semantic and syntactic labour.

This study aims to adjust Thesis-type properties on Schema.org using metadata models and standards (MS) (Bibframe, electronic thesis and dissertations [ETD]-MS, Common European Research Information Format [CERIF] and Dublin Core [DC]) to enrich the Thesis-type properties for better description and processing on the Web.

This study is applied, descriptive analysis in nature and is based on content analysis in terms of method. The research population consisted of elements and attributes of the metadata model and standards (Bibframe, ETD-MS, CERIF and DC) and Thesis-type properties in the Schema.org. The data collection tool was a researcher-made checklist, and the data collection method was structured observation.

The results show that the 65 Thesis-type properties and the two levels of Thing and CreativeWork as its parents on Schema.org that corresponds to the elements and attributes of related models and standards. In addition, 12 properties are special to the Thesis type for better comprehensive description and processing, and 27 properties are added to the CreativeWork type.

Enrichment and expansion of Thesis-type properties on Schema.org is one of the practical applications of the present study, which have enabled more comprehensive description and processing and increased access points and visibility for ETDs in the environment Web and digital libraries.

This study has offered some new Thesis type properties and CreativeWork levels on Schema.org. To the best of the authors’ knowledge, this is the first time this issue is investigated.