bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the drivers for the implementation of automation techniques in the Nigerian construction sector
Authors: Oke Ayodeji Emmanuel , Aliu John , Fadamiro Patricia , Leo-Olagbaye Feyisetan , Jamir Singh Paramjit Singh , Samsurijan Mohamad Shaharudin 
Published: September 2023

PurposeGlobal construction sector studies have significantly explored the impact of automation techniques, revealing their transformative potential. However, research on their application within specific local contexts, especially in developing countries like Nigeria, is sparse. Nigeria presents a unique context marked by challenges such as skilled labor shortage, safety concerns and cost efficiency. Therefore, investigating the implementation of automation techniques in the Nigerian construction industry is crucial to address these challenges, bring transformative advancements and contribute to a more balanced global discourse on automation adoption. This study aims to fill this significant research gap.Design/methodology/approachA mixed research method was deployed which combined both qualitative and quantitative data collection and analysis. Two focus group discussions conducted with 23 experts from both industry and academic institutions (qualitative) yielded 17 drivers which were used to formulate a well-structured questionnaire (quantitative), which was disseminated to construction professionals. Collected data underwent analysis through various statistical techniques, including percentages, frequencies, mean item scores and exploratory factor analysis.FindingsPrincipal component analysis (PCA) yielded four driver clusters namely: (1) performance-related drivers, (2) visualization and efficiency-related drivers, (3) technological and human-related drivers and (4) economic-related drivers.Practical implicationsThe study provides empirical insights that can aid stakeholders, decision-makers, policymakers and the government in formulating strategies to promote automation techniques in the Nigerian construction industry and beyond.Originality/valueThis study's originality lies in its exploration of the untapped potential of automation techniques in the Nigerian construction industry, offering novel perspectives on how these technologies can address specific challenges such as skilled labor shortage, safety concerns and cost efficiency, thereby paving the way for transformative advancements in the sector.
Modelling the interrelationships of critical success factors of humanitarian supply chain: an intuitionistic fuzzy DEMATEL approach
Authors: Choudhary Sangita , Panda Tapan Kumar , Behl Abhishek 
Published: September 2023

PurposeAmid increasing frequency of disaster across the globe, humanitarian supply chain (HSC) has gained significant attention in recent times. This work aims to contribute towards improving the decision-making capabilities of relief organisations by offering more comprehensive understanding of the critical success factors (CSFs) concerning HSC. Hence, the current work attempts to classify CSFs as cause-and-effect factors and explore their relative importance in the stated significance.Design/methodology/approachCurrent work takes an explorative and deductive approach. It uses literature and experts' input to identify the CSFs for HSC and to develop a structural model for assessing these factors. Intuitionistic fuzzy DEMATEL (IF-D) is employed for modelling and analysing the cause-effect linkages among the CSFs. IF-D method is chosen as it is robust to vagueness of data and small samples.FindingsThe findings indicate that “motivated and committed employees” is the most influencing causal factor followed by “IT infrastructure”, and among effect factors, “physical network” carries the most significance followed by “anticipation capabilities.”Practical implicationsRelief organisations and stakeholders at various levels may put more emphasis on cause group factors with more influence on most critical effect factors to build more efficient and effective HSC to execute more impactful relief programs.Originality/valueCurrent work explores the cause–effect relationships among the CSFs concerning HSC by implementing IF-D, which can be considered as the original contribution.
The significance of individual, group and future knowledge at a business level through the knowledge-based lens
Authors: Vu Oanh Thi Kim , Duarte Alonso Abel 
Published: September 2023

PurposeThe purpose of this study is to enhance the conceptual and practical understanding of individual, group and future knowledge as perceived by company owners and managers operating in Vietnam. To date, knowledge gaps remain concerning this emerging economy, for instance, regarding the significance of knowledge management (KM) skills and innovativeness in positively affecting firms' journey. Overall, the study will add to the extant KM literature, partly address extant research gaps and develop a conceptual model. To support the study's literature foundation, the knowledge-based view framework will be considered.Design/methodology/approachAn inductive approach and multi-case study were chosen. The views of 17 individuals in leadership positions representing six companies were gathered through semi-structured, in-depth interviews.FindingsThe analysis revealed the influence of seven dimensions. First, the importance of individuals' knowledge is conceptualised by the conspicuous, approach-based and self-initiated dimensions. Second, the collective action-based and collective approach-based knowledge dimensions illuminate the importance of group knowledge. Third, the externally and internally-oriented knowledge dimensions provide guidance and understanding concerning future knowledge. The analysis also underlines the alignment between the findings and the knowledge-based view in various areas.Originality/valueThe dimensions illuminating the research have practical implications for business owners/managers, for instance, motivational and rewarding strategies that companies could consider in order to enhance or maintain a high flow of knowledge acquisition and operationalisation. Furthermore, these implications could help foster a stronger entrepreneurial culture and benefit Vietnam or other emerging economies in their development and success journey. Conceptually, a developed framework affords a richer understanding of the different facets of knowledge at a company level.
A value-driven touchpoints strategy for managing the customer experience process
Authors: Baidya Mehir , Maity Bipasha , Goswami Susobhan 
Published: September 2023

PurposeManagers use several touchpoints to provide a positive experience for customers in an experience economy. Past studies ignored how the touchpoints complement one another in creating synergy, even though this issue has tremendous managerial implications. This research paper aims to examine the role of a set of value-driven touchpoints' in providing and managing the customer experience.Design/methodology/approachFour hypotheses were formulated concerning the relationship between various value-driven touchpoints and the consumer experience. Data were collected from 360 respondents, and an econometric model was fitted to the data.FindingsThe results showed that touchpoints representing economical, functional, informational and convenient values impact the customer experience and complement one another.Practical implicationsThe findings of this study should assist managers in framing a customer-facing strategy for providing a positive experience to customers.Originality/valueUsing primary data and an econometric model, this research extends the theory on the relationship between value-driven touchpoints and customer experience, hence, adding value to the existing corpus of marketing literature.
On the prediction of stock price crash risk using textual sentiment of management statement
Authors: Yao Xiao , Wu Dongxiao , Li Zhiyong , Xu Haoxiang 
Published: September 2023

PurposeSince stock return and volatility matters to investors, this study proposes to incorporate the textual sentiment of annual reports in stock price crash risk prediction.Design/methodology/approachSpecific sentences gathered from management discussions and their subsequent analyses are tokenized and transformed into numeric vectors using textual mining techniques, and then the Naïve Bayes method is applied to score the sentiment, which is used as an input variable for crash risk prediction. The results are compared between a collection of predictive models, including linear regression (LR) and machine learning techniques.FindingsThe experimental results find that those predictive models that incorporate textual sentiment significantly outperform the baseline models with only accounting and market variables included. These conclusions hold when crash risk is proxied by either the negative skewness of the return distribution or down-to-up volatility (DUVOL).Research limitations/implicationsIt should be noted that the authors' study focuses on examining the predictive power of textual sentiment in crash risk prediction, while other dimensions of textual features such as readability and thematic contents are not considered. More analysis is needed to explore the predictive power of textual features from various dimensions, with the most recent sample data included in future studies.Originality/valueThe authors' study provides implications for the information value of textual data in financial analysis and risk management. It suggests that the soft information contained within annual reports may prove informative in crash risk prediction, and the incorporation of textual sentiment provides an incremental improvement in overall predictive performance.
The influence of vehicle body roll motion on aerodynamic characteristics under crosswind condition
Authors: Taiming Huang , Ma JingMao , Zhang Li , Hao Pan , Feng MingChen , Zeng Wei , Ou Changjie 
Published: September 2023

Purpose
The purpose of this study is investigate the transient aerodynamic characteristics of high-speed vehicle with body roll motion under crosswind condition to improve aerodynamic stability.

Design/methodology/approach
An overset mesh was used to simulate the rolling motion of the vehicle body. A wind tunnel experiment was conducted to validate the numerical method.

Findings
The results revealed that the vehicle’s aerodynamic characteristics changed periodically with the body’s periodic motion. In the absence of crosswind, the pressure distribution on the left and right sides of the vehicle body was symmetrical, and the speed streamline flowed to the rear of the vehicle in an orderly manner. The maximum aerodynamic lift observed in the transient simulation was −0.089, which is approximately 0.70 times that of the quasi-static simulation experiment. In addition, the maximum aerodynamic side force observed in the transient simulation was 0.654, which is approximately 1.25 times that of the quasi-static simulation experiment.

Originality/value
The aerodynamic load varies periodically with the vehicle body’s cyclic motion. However, the extreme values of the aerodynamic load do not occur when the vehicle body is at its highest or lowest position. This phenomenon is primarily attributed to the mutual interference of airflow viscosity and the hysteresis effect in the flow field, leading to the formation of a substantial vortex near the wheel. Consequently, the aerodynamic coefficient at each horizontal position becomes inconsistent during the periodic rolling of the vehicle body.
Artificial intelligence as an enabler for achieving human resource resiliency: past literature, present debate and future research directions
Authors: Panda Gayatri , Dash Manoj Kumar , Samadhiya Ashutosh , Kumar Anil , Mulat-weldemeskel Eyob 
Published: September 2023

PurposeArtificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.Design/methodology/approachThe present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.FindingsThe authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.Research limitations/implicationsThe present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.Originality/valueThe present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.
Uncover the heterogeneity of EMNE's institutional difficulty perception and its behavioral orientation – evidence of Chinese MNEs' FDI in Taiwan
Authors: Yeh Chun-Ping , Hsiao Yi-Chi , Gebhadt Sebastian 
Published: September 2023

PurposeThe existing research on institutional distance implicitly posits the monotonic effect of contextual differences on the multinational enterprise (MNE) behaviors (e.g. entry mode, research and development (R&D) investment and subsidiary reverse knowledge transfer). Namely, MNEs from the same home to the same host countries are thought to have homogenous perceptions on the institutional influences and thus behave similarly. However, the authors argue that MNEs, due to their different performance aspirations in host countries, will have heterogenous perceptions on such contextual influences and thereafter behave differently.Design/methodology/approachDrawing on the behavioral theory of the firm and employing a unique sample comprised of 140 Chinese MNEs' foreign direct investments (FDIs) in Taiwan in 2017, the authors developed and tested the hypotheses.FindingsThe authors found that the emerging-market MNEs' (EMNEs’) perceptions of higher local institutional difficulties will be strengthened when their local performances are below their aspiration levels, making them more risk-taking. Nevertheless, EMNEs' local experiences and local equity-based partnerships will mitigate such negative perceptions, mitigating their risk-taking orientation.Originality/valueThe empirical findings make contributes to the international business (IB) literature by extending knowledge on the determinants and conditions of the heterogeneity in EMNEs' behavioral orientations when in face of the same institutional distance. The authors also provide managerial implications by showing that EMNEs' firm-specific resources (i.e. local experience and local equity-based partnership) will alter their perceptions of local institutional difficulties, leading to different behavioral orientations.
English language teacher trainers’ capacity building in sustainable development goals through MOOCs
Authors: Canaran Özlem , Bayram İlknur 
Published: September 2023

Purpose
This study makes an enquiry of the existing sustainable development goals (SDGs) knowledge of English language teacher trainers (ELTTs), who remain an overlooked stakeholder in education for sustainable development. Despite the literature on SDG integration into traditional teacher education curriculum, how massive open online courses (MOOCs) can help with capacity building of ELTTs is unclear. This study aims to further explore how the knowledge and capacities of ELTTs on SDGs could be promoted through MOOCs.

Design/methodology/approach
For the study’s action research approach, data of 28 ELTTs from higher education institutions in Ankara, Türkiye, were collected for six weeks using a survey, reflective reports and focus group interviews.

Findings
ELTTs with no previous training experience have a partially fragmented understanding of SDGs. MOOCs proved to be highly practical and cost-effective in building ELTTs’ capacity for building knowledge of and improving motivation to address SDGs in training programs. Further findings are drawn from ELTTs’ reflections on the lack of pedagogical content knowledge and collegial interactions in MOOCs.

Originality/value
There is little to no literature on ELTTs’ existing knowledge of SDGs and whether MOOCs can be used for their capacity building to achieve SDGs. The present findings may encourage higher education institutions to launch professional development programs that will equip ELTTs with the competencies to apply education for sustainable development in in-service English language teaching and teacher training programs.
AGV robot for laser-SLAM based method testing in automated container terminal
Authors: Yang Ang , Cao Yu , Liu Yang , Zeng Qingcheng , Xiu Fangqiang 
Published: September 2023

Purpose
Magnet spot is the primary method to develop the automated guided vehicle (AGV) guidance system for many automated container terminals (ACT). Aiming to improve the high flexibility of AGV operation in ACT, this paper aims to address the problem of technical stability leading to ACT production paralysis and propose a mini-terminal AGV robot for testing laser simultaneous location and mapping (SLAM)-based methods in ACT operation scenarios.

Design/methodology/approach
This study developed a physical simulation robot for terminal AGV operations, providing a platform to test technical solutions for applying laser navigation-related technologies in ACTs. Then, the terminal-AGV navigation system framework is designed to apply the laser-SLAM-based method in the physical simulation robot. Finally, the experiment is conducted in the terminal operation scenario to verify the feasibility of the proposed framework for lased-SLAM-based method testing and analyze the performance of the different mini-terminal AGV robots.

Findings
A series of experiments are conducted to analyze the performance of the proposed mini-terminal AGV robot for laser-SLAM-based method testing. The experimental results show the validity and effectiveness of the AGV robot and AGV navigation system framework with better local map matching, loopback and absolute positional error.

Originality/value
The proposed mini-terminal AGV robot and AGV navigation system framework can provide a platform for innovative laser-SLAM-based method testing in ACTs applications. Therefore, this study can effectively meet the high requirements of ACT for maturity and stability of the laser navigation technical.
Post ERP implementation issues and challenges: exploratory case studies in the context of Saudi Arabia
Authors: Mahmood Faisal , Khan Abdul Zahid , Shah Sajid Amir , Adil Muhammad 
Published: September 2023

PurposeThe purpose of this study is to investigate the post–enterprise resource planning (ERP) issues and challenges in the context of Saudi Arabia. There is a lack of research in the context of developing countries regarding post-ERP implementation issues and challenges. The high failure rate of the ERP system is a reflection of many management issues that occurred at different phases of ERP implementation. Previous research indicated that even after a successful implementation, the ERP system was unable to sustain itself in the organizations.Design/methodology/approachAn exploratory case study design was adopted to proceed with this research process at two organizations in Saudi Arabia. The interviews of the top and middle management are conducted and transcribed. These case studies were further analyzed using the Creswell approach to generate several themes, and descriptions provided a deeper understanding of the post ERP implementation issues and challenges.FindingsResearch findings show that for successful ERP implementation, identified factors are top management support, integration, strategy, employee resistance, BPR, change management, vendor selection, team formation and culture. Moreover, factors for the post-ERP implementation that led to sustainability are top management support, training, system adoption, system testing, data migration, cost overrun, employee retention and post-implementation support.Originality/valueThis study is unique in its type to examine the issues and challenges organizations face after deploying ERP initiatives. This research's findings were useful and supportive for the senior management interested in successfully sustaining such an initiative in the organization.
Implementing Google Tag Manager (GTM) in library websites
Authors: Kulkarni Anant Madhav , Pandiyan Muthumari , Sonawane Chetan Sudhakar 
Published: September 2023

Purpose
The purpose of this research paper is to explore and offer insightful information on the useful use of Google Tag Manager (GTM) in the context of library websites and to bridge the gap between GTM’s technical features and the practical requirements of libraries. It gives libraries the ability to use GTM’s capabilities to increase user engagement, data-driven decision-making and improve online services.

Design/methodology/approach
This study reviews existing literature on GTM in the context of websites and libraries. The methodology involves identifying keywords and searching terms related to GTM, digital marketing, user engagement, Web analytics and library websites. Sources and databases were consulted, including library science journals, marketing journals, academic databases, publications on digital marketing and search platforms such as Google Books, Google Scholar, Google Search Engine, JSTOR and library associations like the American Library Association. Initial screening was done based on titles and abstracts, followed by a thorough-text review, categorization and synthesizing of the findings.

Findings
GTM provides libraries with a potent tool to improve their online presence, customize user experiences and collect insightful real-time data. Libraries may harness GTM’s potential to better engage people and provide services by properly implementing it and maintaining it over time. It can be a flexible instrument that supports contemporary library services in the digital era. The findings of this study indicate that GTM technology may be used in library services; nevertheless, there are several barriers, such as librarians’ attitudes and technical abilities, that prevent GTM acceptance in library services.

Originality/value
This study covers the implementation of a free GTM tool in library websites that will help the library and information professionals to leverage the GTM in the library’s online presence. Furthermore, this study recommends that libraries and librarians should develop guidelines and policies for the critical adoption of a free GTM tool in the library environment, which will support improving the library’s user engagement and tracking of library website traffic.