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Article
Publication date: 8 June 2022

Guo Chen, Jiabin Peng, Tianxiang Xu and Lu Xiao

Problem-solving” is the most crucial key insight of scientific research. This study focuses on constructing the “problem-solving” knowledge graph of scientific domains by…

Abstract

Purpose

Problem-solving” is the most crucial key insight of scientific research. This study focuses on constructing the “problem-solving” knowledge graph of scientific domains by extracting four entity relation types: problem-solving, problem hierarchy, solution hierarchy and association.

Design/methodology/approach

This paper presents a low-cost method for identifying these relationships in scientific papers based on word analogy. The problem-solving and hierarchical relations are represented as offset vectors of the head and tail entities and then classified by referencing a small set of predefined entity relations.

Findings

This paper presents an experiment with artificial intelligence papers from the Web of Science and achieved good performance. The F1 scores of entity relation types problem hierarchy, problem-solving and solution hierarchy, which were 0.823, 0.815 and 0.748, respectively. This paper used computer vision as an example to demonstrate the application of the extracted relations in constructing domain knowledge graphs and revealing historical research trends.

Originality/value

This paper uses an approach that is highly efficient and has a good generalization ability. Instead of relying on a large-scale manually annotated corpus, it only requires a small set of entity relations that can be easily extracted from external knowledge resources.

Details

Aslib Journal of Information Management, vol. 75 no. 3
Type: Research Article
ISSN: 2050-3806

Keywords

Article
Publication date: 29 December 2023

Ibrahim Oluwajoba Adisa, Danielle Herro, Oluwadara Abimbade and Golnaz Arastoopour Irgens

This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts…

Abstract

Purpose

This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms.

Design/methodology/approach

This paper describes a pedagogical approach that uses a data science framework the research team developed to assist teachers in providing data science instruction to elementary-aged students. Using phenomenological case study methodology, the authors use classroom observations, student focus groups, video recordings and artifacts to detail ways learners engage in data science practices and understand how they perceive their engagement during activities and learning.

Findings

Findings suggest student engagement in data science is enhanced when data problems are contextualized and connected to students’ lived experiences; data analysis and data-based decision-making is practiced in multiple ways; and students are given choices to communicate patterns, interpret graphs and tell data stories. The authors note challenges students experienced with data practices including conflict between inconsistencies in data patterns and lived experiences and focusing on data visualization appearances versus relationships between variables.

Originality/value

Data science instruction in elementary schools is an understudied, emerging and important area of data science education. Most elementary schools offer limited data science instruction; few elementary schools offer data science curriculum with embedded CT practices integrated across disciplines. This research assists elementary educators in fostering children's data science engagement and agency while developing their ability to reason, visualize and make decisions with data.

Details

Information and Learning Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5348

Keywords

Open Access
Article
Publication date: 9 August 2023

Xin (Robert) Luo and Fang-Kai Chang

The purpose of this study is to demonstrate that Strategic Enterprise Management (SEM) and Business Intelligence (BI) have the potential to integrate management decisions…

Abstract

Purpose

The purpose of this study is to demonstrate that Strategic Enterprise Management (SEM) and Business Intelligence (BI) have the potential to integrate management decisions vertically through an organization’s hierarchy. This study also aims to present a design theory framework and build a model dimension using eight principles serving as mid-range theories.

Design/methodology/approach

This study uses a design science perspective to posit how organizations can successfully implement SEMBI (a union of SEM and BI). This study then completes the design theory by building the method dimension using two principles. Finally, the study presents testable hypotheses for the theory and an evaluation using stakeholder attitudes and judgments as proxies for objective measures.

Findings

In the search for a prescription for SEMBI success, this study finds that the notion of the Capability Maturity Model (CMM) is a good artifact with which to organize the principles the authors are seeking. CMM has since been adapted to suit different contexts by incorporating relevant principles from those domains. Hereafter, this study refers to SEMBI–CMM as the adapted solution for SEMBI's success.

Originality/value

This study coins and uses the term SEMBI to represent the union of SEM and BI. This term retains its distinct identities and principles and forms a holistic and integrated view of SEM and BI implementation strategies. In an effort to advance this line of research, this study employs a design science perspective to address the question of how an organization can successfully implement SEMBI.

Details

Journal of Electronic Business & Digital Economics, vol. 2 no. 2
Type: Research Article
ISSN: 2754-4214

Keywords

Article
Publication date: 11 April 2023

Sulafa Badi

This study explores the role of organisational culture in promoting collective coping strategies in construction project teams in the United Arab Emirates (UAE). Three collective…

Abstract

Purpose

This study explores the role of organisational culture in promoting collective coping strategies in construction project teams in the United Arab Emirates (UAE). Three collective coping strategies were examined, including problem-focused, relationship-focused and emotion-focused coping strategies.

Design/methodology/approach

O'Reilly et al.’s (1991) organisational culture profile (OCP) assessed organisational culture values. Data were collected through an online questionnaire from practitioners in the United Arab Emirates (UAE) construction organisations.

Findings

The findings show a high correlation between competitiveness culture values and problem-focused team coping strategy. Relationship-focused team coping strategy was found to have a high correlation with emphasis on rewards and performance orientation values. Conversely, an emotion-focused team coping strategy correlates highly with competitiveness, supportiveness and emphasis on rewards cultural values.

Research limitations/implications

The cross-sectional design of the survey and the UAE context may present limits to the generalisability of findings.

Practical implications

Limited attempts have been made to study collective coping in construction project teams. The study paves the path for exploring emergent socio-psychological concepts in construction organisations, including the impact of organisational culture on team collective coping with adverse events.

Originality/value

Understanding the pivotal impact of culture on successful team coping provides managers with valuable insights into managing situational adversity in construction project teams.

Details

International Journal of Productivity and Performance Management, vol. 73 no. 3
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 21 December 2023

Alejandro Ríos-Hernández, Joel Mendoza-Gómez and Luz María Valdez–de la Rosa

This study empirically tests a model of human capital (HC) factors affecting the organisational competitiveness (OC) of automotive parts suppliers in the Industry 4.0 framework…

Abstract

Purpose

This study empirically tests a model of human capital (HC) factors affecting the organisational competitiveness (OC) of automotive parts suppliers in the Industry 4.0 framework, including concepts such as Toyota Kata (TK), Kaizen and Quality 4.0, during the coronavirus disease 2019 pandemic.

Design/methodology/approach

An instrument was created to measure emotional intelligence (EI) and analytical skill (AS) as input variables and OC as the output variable. The instrument was distributed electronically to Tier 1 non-technical employees in Nuevo León and Querétaro, México. A total of 195 surveys were obtained. The instrument used stepwise multiple linear regression.

Findings

This study proposes a model to strengthen the OC of Tier 1 automotive parts supply industry from the perspective of HC factors. Furthermore, it is shown that EI and AS have a positive and significant impact on OC.

Practical implications

From an HC perspective, this study provides a useful basis to improve OC for researchers, industry experts and managers at different levels of the automotive industry, including the triple helix (academia, industry and the government).

Originality/value

No studies simultaneously test the relationship of EI and AS to OC; therefore, this study fills a gap in the literature. Furthermore, the study explored the literature on individual Kaizen (IK) and TK, leading to a contrast between the definitions of EI and AS. Finally, for EI, a reference to motivation was found in the IK. In the case of AS, an orientation to ability of problem solving was found in TK.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 29 March 2024

Cole J. Crider, Alireza Aghaey, Jason Lortie, Whitney O. Peake and Shaun Digan

The purpose of this study is to empirically examine how individuals’ hybrid entrepreneurial venturing activities (HEVA) influence key characteristics associated with one’s wage…

Abstract

Purpose

The purpose of this study is to empirically examine how individuals’ hybrid entrepreneurial venturing activities (HEVA) influence key characteristics associated with one’s wage work, namely creativity and job satisfaction.

Design/methodology/approach

Through a cross-sectional self-administered survey design, data were gathered from 465 US-based useable responses via Amazon Mechanical Turk and analyzed using structural equation modeling (SEM).

Findings

Findings show individuals reporting higher levels of HEVA – such as creating, founding, starting or running – tend to also exhibit higher levels of creativity and job satisfaction in their workplaces. Findings further reveal that income negatively moderates the relationship between creativity and wage work job satisfaction.

Practical implications

By providing a better understanding of how engaging in HEVA can impact creativity and job satisfaction, this study has important implications for (1) managers seeking to influence key employee outcomes and (2) employees considering such entrepreneurial activities.

Originality/value

This paper adds to the growing scholarly and practitioner interest in hybrid entrepreneurship and its outcomes. Specifically, the paper adds new insights regarding how engaging in HEVA can influence individual skills (i.e. creativity) or organizational goals (i.e. employee job satisfaction). In doing so, the paper also uses insights from the intrinsic/extrinsic motivation literature to suggest how extrinsic motivators (such as income) can interact with intrinsically motivated behaviors (such as creativity) in influencing employee outcomes in wage work. Finally, the paper contributes to the growing interest in applying the empowerment perspective within entrepreneurship research by exploring where and how empowerment may occur.

Details

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

Keywords

Article
Publication date: 1 May 2023

C. Lakshman and Jorge Gonzalez

This study aims to theoretically explore the relationship between potential antecedents of business model innovation (BMI) in multinational enterprises (MNEs) and the paths…

Abstract

Purpose

This study aims to theoretically explore the relationship between potential antecedents of business model innovation (BMI) in multinational enterprises (MNEs) and the paths through which BMI unfolds in such contexts. This study theorizes how multiculturalism in top management teams (TMTs) influences team-level cultural intelligence (CQ), which enhances firm strategic agility and helps develop BMI in MNEs.

Design/methodology/approach

This study’s cross-level theoretical framework describes the mediating role of CQ of TMTs in the relationship between team multiculturalism and strategic agility, which subsequently influences BMI. This study discusses contributions, limitations and future directions.

Findings

MNEs’ capability of developing and recombining disruptive knowledge from globally dispersed sources and integrating them to innovate is subject to the knowledge-sourcing paradox. Despite the importance of intra-member diversity in the form of multicultural individuals in multicultural teams, inter-member diversity is more prominent in the literature. Regardless, the applicability of a comprehensive conceptualization of diversity in multicultural teams to BMI has yet to be examined. This study’s theoretical model links multiculturalism in TMTs with BMI in MNEs through a cross-level framework.

Originality/value

This study contributes to the International Business literature by proposing a novel conceptualization of team multiculturalism and leverage theoretical underpinnings of the Dynamic Managerial Capabilities perspective to develop a cross-level model of factors influencing BMI in MNEs.

Details

Multinational Business Review, vol. 31 no. 2
Type: Research Article
ISSN: 1525-383X

Keywords

Article
Publication date: 29 August 2022

Xiaoli Yan and Tao Li

This paper aims to analyze Hangzhou Urban Brain in responding to COVID-19, including systematically sorting out the development mode, capabilities, composition and application of…

Abstract

Purpose

This paper aims to analyze Hangzhou Urban Brain in responding to COVID-19, including systematically sorting out the development mode, capabilities, composition and application of Urban Brain and exploring its role and effect. This paper tries to provide a reference for other cities' digital infrastructure construction through case analysis.

Design/methodology/approach

The authors took Hangzhou Urban Brain as a typical case in urban digital infrastructure construction, and they conducted thorough research on its practice in facing COVID-19. The authors analyzed the key elements of Urban Brain, the application and the evaluation of Urban Brain through literature review, field investigation, questionnaire and interviews.

Findings

Hangzhou Urban Brain has been deeply applied in urban management and has a good foundation. Therefore, when the COVID-19 occurred, the Urban Brain played an important role. The detailed practices facing COVID-19 are mainly in five aspects: information collection and analysis, ensuring material supply by government–enterprise collaboration, using AI and Big Data to “Visualize” COVID-19, etc. Moreover, Urban Brain has won high evaluation. However, Hangzhou Urban Brain still has problems like data privacy and security, technical issues, etc.

Originality/value

This case study shows that Hangzhou's experience in Urban Brain construction is worthy of reference and promotion. Firstly, it can strengthen the understanding of digital infrastructure in responding to public health emergencies. Furthermore, it provides a reference for other urban governance worldwide by excavating the role and effect of digital infrastructure in preventing and controlling COVID-19. Thirdly, it explores how to improve the digital infrastructure construction to support public health challenges, which will help the cities grasp the actual value of data and make progress in this field. By this, it can provide references for cities in the world, especially in Asia to achieve sustainable city development.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 8
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 7 November 2023

Udoka Okonta, Amin Hosseinian-Far and Dilshad Sarwar

With the rise in demand and adoption of smart city initiatives, it is imperative to plan the railway infrastructure, as it will have a huge positive impact if adequately…

Abstract

Purpose

With the rise in demand and adoption of smart city initiatives, it is imperative to plan the railway infrastructure, as it will have a huge positive impact if adequately integrated into the planning process. Given the complexities involved, a whole systems thinking framework provides a useful platform for rail transport planners.

Design/methodology/approach

This paper proposes a simple, adoptable framework utilising systems thinking concepts and techniques taking into cognisance the key stakeholders. Milton Keynes in the United Kingdom is the adopted case study.

Findings

Selected systems thinking tools and techniques are adopted to develop a framework for mapping stakeholders and attributes when developing sustainable rail transport systems, taking note of their core functionalities and the complex systems wherein they exist.

Practical implications

The desire to build future (smart) cities is to effectively match infrastructural resources with a rapidly growing population, and the railway sector can play a strategic role in building a much more competitive low-carbon-emission transport system, which is a driving force for sustainable development.

Social implications

The urban rail service has become vital to urban development as railway stations serve as hubs for sustainable mobility to meet local requirements. Moreover, it takes extra effort to input railway development into smart city plans, as it is a herculean task to get governments to focus on it with clarity of purpose in passing legislation.

Originality/value

The developed framework reduces complexities when planning and designing rail transport systems compared to many of the existing reductionist planning approaches. The simplicity of the framework would also make it easily adoptable by a wide range of users.

Details

Smart and Sustainable Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6099

Keywords

Article
Publication date: 20 June 2023

Gao Shang, Sui Pheng Low and Xin Ying Valen Lim

The rise of artificial intelligence (AI) and differing attitudes towards its adoption in the building and environment (B&E) industry has an impact upon whether companies can meet…

1010

Abstract

Purpose

The rise of artificial intelligence (AI) and differing attitudes towards its adoption in the building and environment (B&E) industry has an impact upon whether companies can meet changing demand and remain relevant and competitive. The emergence of Industry 4.0 technologies, coupled with the repercussions of COVID-19, increases the urgency and opportunities offered that companies must react to, as disruptive technologies impact how project management (PM) professionals work and necessitate acquisition of new skills. This paper attempts to identify the drivers of and barriers to, as well as the general perception and receptiveness of local PM professionals towards, AI adoption in PM and thereby propose potential strategies and recommendations to drive AI adoption in PM.

Design/methodology/approach

This study employs both quantitative and qualitative approaches to examine the findings gathered. A survey questionnaire was used as the primary method of gathering quantitative data from 60 local PM professionals. Statistical tests were performed to analyse the data. To substantiate and validate the findings, in-depth interviews with several experienced industry professionals were performed.

Findings

It is found that top drivers include support from top management and leadership, organisational readiness and the need for greater work productivity and efficiency. Top barriers were found to be the high cost of AI implementation and maintenance and the lack of top-down support and skilled employees trained in AI. These findings could be attributed to the present state of AI technologies being new and considerably underutilised in the industry. Hence, substantial top-down support with the right availability of resources and readiness, both in terms of cost and skilled employees, is paramount to kick-start AI implementation in PM.

Originality/value

Little research has been done on the use of AI in PM locally. AI's potential to improve the productivity and efficiency of PM processes in the B&E industry cannot be overlooked. An understanding of the drivers of, barriers to and attitudes towards AI adoption can facilitate more intentional and directed oversight of AI's strategic roll-out at both the governmental and corporate levels and thus mitigate potential challenges that may hinder the implementation process in the future.

Details

Built Environment Project and Asset Management, vol. 13 no. 5
Type: Research Article
ISSN: 2044-124X

Keywords

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