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1 – 10 of 550Ying Gao, Qiang Zhang, Xiaoran Wang, Yanmei Huang, Fanshuang Meng and Wan Tao
Currently, the Tang tomb mural cultural relic resources are presented in a multi-source and heterogeneous manner, with a lack of effective organization and sharing between…
Abstract
Purpose
Currently, the Tang tomb mural cultural relic resources are presented in a multi-source and heterogeneous manner, with a lack of effective organization and sharing between resources. Therefore, this study aims to propose a multidimensional knowledge discovery solution for Tang tomb mural cultural relic resources.
Design/methodology/approach
Taking the Tang tomb murals collected by the Shaanxi History Museum as an example, based on clarifying the relevant concepts of Tang tomb mural resources and considering both dynamic and static dimensions, a top-down approach was adopted to first construct an ontology model of Tang tomb mural type cultural relics resources. Then, the actual case data was imported into the Neo4J graph database according to the defined pattern hierarchy to complete the static organization of knowledge, and presented in a multimodal form in knowledge reasoning and retrieval. In addition, geographic information system (GIS) technology is used to dynamically display the spatiotemporal distribution of Tang tomb mural resources, and the distribution trend is analysed from a digital humanistic perspective.
Findings
The multi-dimensional knowledge discovery of Tang tomb mural cultural relics resources can help establish the correlation and spatiotemporal relationship between resources, providing support for semantic retrieval and navigation, knowledge discovery and visualization and so on.
Originality/value
This study takes the murals in the collection of the Shaanxi History Museum as an example, revealing potential knowledge associations in a static and intelligent way, achieving knowledge discovery and management of Tang tomb murals, and dynamically presents the spatial distribution of Tang tomb murals through GIS technology, meeting the knowledge presentation needs of different users and opening up new ideas for the study of Tang tomb murals.
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This paper aims to provide a synthesis of theoretical and empirical work related to the professionalization of small- and medium-sized enterprises (SMEs) from a knowledge-based…
Abstract
Purpose
This paper aims to provide a synthesis of theoretical and empirical work related to the professionalization of small- and medium-sized enterprises (SMEs) from a knowledge-based perspective.
Design/methodology/approach
A systematic literature review consisting of three major steps of planning, conducting and reporting is conducted. Papers are identified, selected and deductively coded. Quantitative and qualitative methods are used to analyze the papers. The finalized list includes 78 papers and 48 journals, with the oldest paper published in 1980 and the most recent papers published in 2022.
Findings
The findings showed that the empirical works (n = 69) outnumbered the conceptual works (n = 9). Most papers focused on the organizational level of analysis and identified causal conditions, modes, intervening conditions and consequences. A multidimensional characteristic of professionalization emerged inductively as an additional attribute.
Originality/value
This paper provides a synthesis of the current literature and offers a research agenda to academics and practitioners interested in the professionalization of SMEs from a knowledge-based perspective.
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Peipei Liu and Wei-Qiang Huang
This study is the first that aims to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the…
Abstract
Purpose
This study is the first that aims to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.
Design/methodology/approach
Multiple spatial weight matrices can capture the contiguity of spatial units from various dimensions, which could be exploited to improve the precision of inference as well as prediction accuracy. To the best of the authors’ knowledge, this is the first study to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.
Findings
With network structure analysis, this study finds that they contain different information content from the perspective of graphical display, node strength and correlation. Developed and emerging countries all play major roles in trade connection, while only developed countries play major roles in financial linkage. Second, by applying the multidimensional SAR model, only the spatial autocorrelation coefficients for trade and financial linkages are significant during the full sample period, which is in sharp contrast to published studies using the SAR model with a single matrix. Third, the spillover channels that play major roles in various periods are different. Only trade channel plays a role during crisis periods and it is the most important. Fourth, the spatial correlation among countries greatly amplifies the shock’s impacts on one market. And spatial effect for developed countries is larger than those for emerging countries, while the mean spatial effect of a unit shock in the USA on emerging countries is slightly greater than that on developed countries.
Originality/value
Multiple spatial weight matrices can capture the contiguity of spatial units from various dimensions, which could be exploited to improve the precision of inference as well as prediction accuracy. To the best of the authors’ knowledge, this is the first study to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.
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Constantin Bratianu, Alexeis Garcia-Perez, Francesca Dal Mas and Denise Bedford
Xinyu Dong, Cleopatra Veloutsou and Anna Morgan-Thomas
Negative brand engagement represents a pervasive and persistent feature of interactivity in online contexts. Although existing research suggests that consumer negativity is…
Abstract
Purpose
Negative brand engagement represents a pervasive and persistent feature of interactivity in online contexts. Although existing research suggests that consumer negativity is potentially more impactful or detrimental to brands than its positive counterpart, few studies have examined negative brand-related cognitions, feelings and behaviours. Building on the concept of brand engagement, this study aims to operationalise negative online brand engagement.
Design/methodology/approach
This paper presents the results of nine studies that contributed to the development and validation of the proposed scale. Building on the concept of engagement, Studies 1–3 enhanced the construct conceptualisation and generated items. Study 4 involved validation with an academic expert panel. The process of measure operationalisation and validation with quantitative data was completed in Studies 5–8. Finally, the scale's nomological validity was assessed in Study 9.
Findings
The results confirm the multidimensional nature of negative online brand engagement. The validated instrument encompasses four dimensions (cognition, affection, online constructive behaviour and online destructive behaviour), captured by 17 items.
Originality/value
Progress in understanding and dealing with negative online brand engagement has been hampered by disagreements over conceptualisation and the absence of measures that capture the phenomenon. This work enhances managerial understanding of negativity fostering strategies that protect brand engagement and improve firm performance.
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Healthcare education is a huge industry with a significant social footprint and resilient impact on well-being and on the quality of life. It integrates diverse scientific domains…
Abstract
Healthcare education is a huge industry with a significant social footprint and resilient impact on well-being and on the quality of life. It integrates diverse scientific domains and needs to continuously update its value proposition to reflect the need for preparing top-quality health professionals. It also has to support professional development and to manage effectively the accreditation of programs and the certification of skills and knowledge. In this chapter, the authors expand a theoretical framework about Active and Transformative Learning (ATL) that has introduced in the volume of ATL for STEAM disciplines and also discussed how artificial intelligent (AI) tools, such as OPENAI Chat GPT, can serve as transformers and value carriers for the implementation of ATL activities and use cases in healthcare education.
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Xin Feng, Lei Yu, Weilong Tu and Guoqiang Chen
With the development of science and technology, more creators are trying to use new crafts to represent the cultural trends of the social media era, which makes cultural heritage…
Abstract
Purpose
With the development of science and technology, more creators are trying to use new crafts to represent the cultural trends of the social media era, which makes cultural heritage innovative and new genres emerge. This compels the academic community to examine craft from a new perspective. It is very helpful to understand the hidden representational structure of craft more deeply and improve the craft innovation system of cultural and creative products that we deconstruct the craft based on Complex Network and discover its intrinsic connections.
Design/methodology/approach
The research crawled and cleaned the craft information of the top 20% products on the Forbidden City’s cultural and creative products online and then performed Complex Network modeling, constructed three craft representation networks among function, material and technique, quantified and analyzed the inner connections and network structure of the craft elements, and then analyzed the cultural inheritance and innovation embedded in the craft representation networks.
Findings
The three dichotomous craft representation networks constructed by combining function, material and technique: (1) the network density is low and none of them has small-world characteristics, indicating that the innovative heritage of the craft elements in the Forbidden City’s cultural and creative products is at the stage of continuous exploration and development, and multiple coupling innovation is still insufficient; (2) all have scale-free characteristics and there is still a certain degree of community structure within each network, indicating that the coupling innovation of craft elements of the Forbidden City’s cultural and creative products is seriously uneven, with some specific “grammatical combinations” and an Island Effect in the network structure; (3) the craft elements with high network centrality emphasize the characteristics of decorative culture and design for the masses, as well as the pursuit of production efficiency and economic benefits, which represent the aesthetic purport of contemporary Chinese society and the ideological trend of production and life.
Originality/value
The Forbidden City’s cultural and creative products should continue to develop and enrich the multi-coupling innovation of craft elements, clarify and continue their own brand unique craft genes, and make full use of the network important nodes role.
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Dorothea Kossyva, Georgios Theriou, Vassilis Aggelidis and Lazaros Sarigiannidis
This study aims to explore talent retention in knowledge-intensive industries by investigating the mediating processes between the existence and application of human resource…
Abstract
Purpose
This study aims to explore talent retention in knowledge-intensive industries by investigating the mediating processes between the existence and application of human resource management (HRM) and employee turnover. Toward this end, drawing on the conservation of resources and job demands–resources theories, a three-dimensional model is examined, which includes the relationship between HRM, knowledge management (KM) and change management (CM), as well as their relationship with employee engagement and employee turnover intention.
Design/methodology/approach
The proposed research model has been studied with a sample of 168 talented employees in over six European countries, using a quantitative approach, involving the structural equation modeling method. All data were gathered by a multidimensional questionnaire via prolific, an academic crowdsourcing platform.
Findings
Results indicated that knowledge-intensive services firms may achieve higher talent retention through the interaction of HRM with KM and CM practices, which may lead to enhanced employee engagement.
Research limitations/implications
Possible limitations of the study include the relatively small sample size, the self-rate questions for the collection of data and the use of cross-sectional data.
Practical implications
To retain their talented employees, organizations should identify ways to improve their HRM, CM and KM practices. In addition, HR practitioners ought to include their talented employees in all organizational change and KM processes and create mechanisms that successfully support knowledge acquisition, creation, sharing, retention and codification.
Originality/value
To the best of the authors’ knowledge, this is the first study to examine various factors of retaining talented employees in knowledge-intensive services. Furthermore, the study took place in six European countries, i.e. UK, Poland, Italy, Germany, Portugal and Greece, where the research on talent retention is very limited.
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You Wu, Xiao-Liang Shen and Yongqiang Sun
Social media rumor combating is a global concern in academia and industry. Existing studies lack a clear definition and overall conceptual framework of users' rumor-combating…
Abstract
Purpose
Social media rumor combating is a global concern in academia and industry. Existing studies lack a clear definition and overall conceptual framework of users' rumor-combating behaviors. Therefore, this study attempts to empirically derive a typology of rumor-combating behaviors of social media users.
Design/methodology/approach
A three-phase typology development approach is adopted, including content analysis, multidimensional scaling (MDS), interpreting and labeling. Qualitative and quantitative data collection and analysis methods are employed.
Findings
The elicited 40 rumor-combating behaviors vary along two dimensions: high versus low difficulty of realization, and low versus high cognitive load. Based on the two dimensions, the 40 behaviors are further divided into four categories: rumor-questioning behavior, rumor-debunking behavior, proactive-appealing behavior, and literacy enhancement behavior.
Practical implications
This typology will serve as reference for social media platforms and governments to further explore the interventions to encourage social media users to counter rumor spreading based on various situations and different characteristics of rumor-combating behaviors.
Originality/value
This study provides a typology of rumor-combating behaviors from a novel perspective of user participation. The typology delves into the conceptual connotations and basic forms of rumor combating, allowing for a comprehensive understanding of the complete spectrum of users' rumor-combating behaviors. Furthermore, the typology identifies the similarities and the differences between various rumor-combating behaviors, thus providing implications and directions for future research on rumor-combating behaviors.
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