bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling the theory of planned behaviour to evaluate the investment intention of generation Z in the speculative market: stocks, Forex and cryptocurrencies
Authors: Pandurugan Vaidehi , Al Shammakhi Badriya Nasser Said 
Published: February 2024

PurposeThe current research takes a closer look at the investment intention of Generation Z and its relation to investing in a speculative market. The study applies the theory of planned behaviour (TPB) to understand the dominant factors leading to Generation Z investment decisions in speculative markets. The main objective is to identify whether these decisions are learnt decisions or herd behaviours.Design/methodology/approachStructural equation modelling is used to evaluate the research model, and examine the mediation effect of financial literacy using bootstrapping in AMOS software. Information was gathered from 271 students studying at the University of Technology and Applied Sciences. The questionnaire used for the survey was adapted from previous related studies examining the TPB.FindingsThe findings show financial literacy and behavioural outcome (attitude) are key components associated with investment intention. Motivation to comply (subjective norm) affects the intention to invest if mediated by financial literacy. The subjective norm has no bearing on the intention to invest in a speculative market. This implies social peers have no bearing on their intention to invest unless mediated by financial literacy.Research limitations/implicationsThe main limitation of the study is that the group from which the sample is drawn consists of all students at a state-funded university who receive stipends. This limits the applicability of related findings. Furthermore, the variables have dynamic properties, which implies their impacts may vary over time.Practical implicationsGeneration Z comprises a large number of small investors who can make a significant difference to the overall economic trends of the country. The digital world, which is time- and space-infinite, is shaping the next generation. It is only possible to reach and sway their opinions by conducting extensive behavioural science research.Social implicationsAcademic institutions ought to be viewed as a resource for conducting additional in-depth research on a variety of subjects to assist and shape the current generation for a better future.Originality/valueAlthough the TPB has been used by many researchers to explore the behavioural intention of Generation Z, very few have used financial literacy as a perceived behaviour control to study its direct and indirect effects on behaviour intention.
Factors influencing competitive advantage in start-ups operations 4.0
Authors: Sreenivasan Aswathy , Suresh M. 
Published: February 2024

Purpose
The ability of a business to outperform its rivals is known as its competitive edge, and it presents special difficulties in the context of the “digital revolution,” or the fourth industrial revolution. To obtain a competitive edge in the startup operations 4.0 era, this study aims to examine the organizational, technological and competence-related challenges presented by Industry 4.0. It does this by concentrating on the tools, competencies, methods, approaches, tools and strategies that are crucial. Using the Total Interpretive Structural Modeling (TISM) technique, the goal is to find, analyze and classify enablers for startup operations 4.0.

Design/methodology/approach
A closed-ended questionnaire and planned interviews were used in the data collection process. In startup operations 4.0, the cross-impact matrix multiplication applied to classification method is used to rank and categorize competitive advantage factors, whereas the TISM technique is used to analyze how components interact.

Findings
The study highlights the critical significance of the “Internet of Things (IoT),” “information technologies,” “technological platforms,” “employee empowerment,” “augmented reality (AR)” and “operational technologies” in its identification of 12 enablers for startup operations 4.0.

Research limitations/implications
The main focus of the study is on the variables that affect startup operations 4.0’s competitive advantage.

Practical implications
Academics and important stakeholders can better understand the factors influencing competitive advantage in startup operations 4.0 with the help of this research.

Originality/value
Large businesses have been profoundly impacted by Industry 4.0 principles; however, startup operations 4.0’s competitive advantage has not received as much attention. This paper offers a fresh take on the concept of competitive advantage in startup operations 4.0 research.
Addressing learning and development issues in airport companies: implications for organizational development specialists
Authors: Atiku Sulaiman Olusegun , Oladejo Olufemi Michael , Sibalatani Angela Ntwala 
Published: February 2024

Purpose
This study examines the issues affecting learning and development (L&D) interventions to enhance operational efficiency in airport companies.

Design/methodology/approach
This study adopted a case study design following a qualitative approach for data collection and analysis procedure. A purposive sample of fifteen executives, including 6 Chief Executive Officers, along with 9 operational managers from the aviation industry in Namibia were suitable participants to gather information about issues affecting L&D for specific interventions to improve operational efficiency in airport companies. The data was collected using face-to-face interviews. The transcripts generated from the recordings were organized using thematic analysis via NVivo version 12.

Findings
The results showcased a lack of training needs assessment and process, inadequate specialized training and poor levels of commitment. Hence, specialized L&D interventions will impact commitment and work outcomes, which are essential for operational efficiency in airport companies.

Originality/value
There is a paucity of literature on how to address L&D issues for operational efficiency in the aviation sector.
Smoking effects on labor income: new evidence for Brazil
Authors: Vieira Leandro Pinheiro , Pereira Rafael Mesquita 
Published: February 2024

PurposeThis study aims to investigate the effect of smoking on the income of workers in the Brazilian labor market.Design/methodology/approachUsing data from the 2019 National Health Survey (PNS), we initially address the sample selection bias concerning labor market participation by using the Heckman (1979) method. Subsequently, the decomposition of income between smokers and nonsmokers is analyzed, both on average and across the earnings distribution by employing the procedure of Firpo, Fortin, and Lemieux (2009) - FFL decomposition. Ñopo (2008) technique is also used to obtain more robust estimates.FindingsOverall, the findings indicate an income penalty for smokers in the Brazilian labor market across both the average and all quantiles of the income distribution. Notably, the most significant differentials and income penalties against smokers are observed in the lower quantiles of the distribution. Conversely, in the higher quantiles, there is a tendency toward a smaller magnitude of this gap, with limited evidence of an income penalty associated with this habit.Research limitations/implicationsThis study presents an important limitation, which refers to a restriction of the PNS (2019), which does not provide information about some subjective factors that also tend to influence the levels of labor income, such as the level of effort and specific ability of each worker, whether smokers or not, something that could also, in some way, be related to some latent individual predisposition that would influence the choice of smoking.Originality/valueThe relevance of the present study is clear in identifying the heterogeneity of the income gap in favor of nonsmokers, as in the lower quantiles there was a greater magnitude of differentials against smokers and a greater incidence of unexplained penalties in the income of these workers, while in the higher quantiles, there was low magnitude of the differentials and little evidence that there is a penalty in earnings since the worker is a smoker.
Business model innovation of 3D-printing garment enterprises in digital transformation: business model innovation canvas approach
Authors: Jin Yuran , Zhu Xiaolin , Zhang Xiaoxu , Wang Hui , Liu Xiaoqin 
Published: February 2024

Purpose3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital transformation challenges brought by 3D printing. Since the business model is a competitive weapon for modern enterprises, there is a research gap between business model innovation and digital transformation challenges for 3D-printing garment enterprises. The aim of the paper is to innovate a new business model for 3D-printing garment enterprises in digital transformation.Design/methodology/approachA business model innovation canvas (BMIC), a new method for business model innovation, is used to innovate a new 3D-printing clothing enterprises business model in the context of digital transformation. The business model canvas (BMC) method is adopted to illustrate the new business model. The business model ecosystem is used to design the operating architecture and mechanism of the new business model.FindingsFirst, 3D-printing clothing enterprises are facing digital transformation, and they urgently need to innovate new business models. Second, mass customization and distributed manufacturing are important ways of solving the business model problems faced by 3D-printing clothing enterprises in the process of digital transformation. Third, BMIC has proven to be an effective tool for business model innovation.Research limitations/implicationsThe new mass deep customization-distributed manufacturing (MDC-DM) business model is universal. As such, it can provide an important theoretical reference for other scholars to study similar problems. The digital transformation background is taken into account in the process of business model innovation. Therefore, this is the first hybrid research that has been focused on 3D printing, garment enterprises, digital transformation and business model innovation. On the other hand, business model innovation is a type of exploratory research, which means that the MDC-DM business model’s application effect cannot be immediately observed and requires further verification in the future.Practical implicationsThe new business model MDC-DM is not only applicable to 3D-printing garment enterprises but also to some other enterprises that are either using or will use 3D printing to enhance their core competitiveness.Originality/valueA new business model, MDC-DM, is created through BMIC, which allows 3D-printing garment enterprises to meet the challenges of digital transformation. In addition, the original canvas of the MDC-DM business model is designed using BMC. Moreover, the ecosystem of the MDC-DM business model is constructed, and its operation mechanisms are comprehensively designed.
The Auckland War Memorial Museum Online Cenotaph: community participation, collective memorialisation and social cohesion
Authors: Liew Chern Li , Passau Victoria 
Published: February 2024

Purpose
Online/Digital cultural heritage platforms have the potential to serve as empowering sites and tools for democratic participation, and for promoting social cohesion, acting as convergence points for diverse societal groups. They enable the gathering of multiple voices, including those of minorities and groups often marginalised in mainstream cultural heritage documentation. This research paper examines the ways in which these aspirations of cultural heritage platforms as meeting, learning and dialogic spaces for connecting and empowering online communities have been realised.

Design/methodology/approach
Using a qualitative design, interviews were conducted with users of New Zealand’s Auckland War Memorial Museum’s Online Cenotaph. Participants shared their experiences with the platform, perceptions of it as a collective social history resource and views on its role as a participatory space for online communities. They also discussed their expectations for its development as an online space for collective memorialisation.

Findings
Interviews revealed that users value Online Cenotaph for placing personal, publicly contributed memories and narratives alongside primary military sources. Participants expressed feelings of civic responsibility, social awareness and a sense of identity and connection through their use and contribution to this online commemorative space. The shift from a one-way flow of information from the Museum towards embracing public contribution embodying a high-trust approach, was a notable finding.

Originality/value
This research underscores the evolving role of museums and other GLAM institutions in recognising the importance of inclusivity, diversity and community participation. It provides insights into how digital cultural heritage social platforms can contribute towards these goals and promote social cohesion. This research is also a starting point for further studies on crowdsourcing and social Web activities on digital cultural heritage platforms as sites of community building through public participation and engagement in historical/cultural heritage narratives.
Caring across borders: Indonesian care workers’ experiences of working in Japan
Authors: Gunawan Joko , Efendi Ferry , Tsujita Yuko , Oda Hisaya 
Published: February 2024

Purpose
Despite the large number of Indonesian health-care workers working as migrant care workers in Japan, there is a lack of studies that have investigated this phenomenon or assessed the working conditions of Indonesian care workers working in Japanese aged-care facilities. This study aims to explore the work experiences of Indonesian care workers in Japan.

Design/methodology/approach
A qualitative descriptive research design was used, and a purposive sample of 18 Indonesian health-care workers (12 nurses and six midwives) who work as care workers in Japan participated in this study. Semistructured interviews were conducted with these participants between December 2022 and January 2023. The data were analyzed using content analysis. The Consolidated Criteria for Reporting Qualitative Research checklist was used to report this study.

Findings
Four key themes emerged from the data: easy but mentally challenging, being a care worker is a blessing, working in a partially Muslim-friendly environment and enjoy living: prefer to stay longer.

Originality/value
The work experiences of Indonesian care workers in Japan are complex and multifaceted. By understanding their experiences and needs, the authors can work toward creating more inclusive and supportive workplaces for all.
Platform success in the international marketplace: reconfiguring digital resources for marketing agility
Authors: Weng Chenchen , Liu Martin J. , Ye Dandan , Huang Jimmy , Liu Paul C.Y. 
Published: February 2024

PurposeThis paper explores how platforms reconfigure versatile digital resources to achieve marketing agility in international markets.Design/methodology/approachWe draw on a case study of a Chinese digital platform to explore the processes and mechanisms of reconfiguring during marketing agility development. Data from different sources are collected, including interviews, informal dialogue and archival data.FindingsVersatile digital resources create productive applications for previously less amendable marketing and nonmarketing resources to be malleable, editable and reconfigurable in marketing agility development. This study identifies and clarifies three versatile digital resource-enabled reconfiguration activities in marketing agility building: recombining digital artifacts, repurposing human capital and cross-pollinating markets.Research limitations/implicationsSince our study adopts a case study method, future research can extend our insights by using quantitative methods to test and verify our theoretical framework.Practical implicationsFirst, we provide insights into how organizations can reconfigure versatile digital resources to achieve the benefits of marketing agility in international markets. Second, while recruiting new employees during internationalization is vital, we suggest that assisted by digital artifacts, firms can repurpose the existing workforce, such as via multitasking, swift task-switching and flexible job redirecting to satisfy dynamic international business requirements with lower adjustment costs. Third, we offer two localization approaches in which firms can use digital artifacts as the enabler to remix sociocultural elements with local adaptations to develop glocal content and decentralize content production to generate inclusive local content.Originality/valueWe provide a process model that specifies how platforms reconfigure versatile digital resources to achieve marketing agility in international markets. Furthermore, we provide novel insights into the literature on marketing agility in international markets and localization.
Heavy migration traffic and bad weather are a dangerous combination: Bird collisions in New York City
Authors: Chen Katherine , Kross Sara M. , Parkins Kaitlyn , Seewagen Chad , Farnsworth Andrew , Van Doren Benjamin M. 
Published: February 2024

Abstract

Bird–building collisions account for 365–988 million bird fatalities every year in the United States alone. Understanding conditions that heighten collision risk is critical to developing effective strategies for reducing this source of anthropogenic bird mortality. Meteorological factors and regional migration traffic may increase collision rates but also may be difficult to disentangle from other effects.

We used 5 years of bird collision counts in New York City to examine the influence of nocturnal weather conditions and bird migration traffic rates on collisions with buildings during spring and fall.

We found that seasonally unfavourable winds and conditions that impede visibility are important factors that increase the rates of bird–building collisions during both seasons. Specifically, northerly and westerly winds and low visibility in the spring and southerly and westerly winds and low cloud ceiling height in the fall are associated with higher collision risks.

Generally, these weather variables associated most strongly with increased collisions when nocturnal bird migration traffic was high, with the exception of low visibility in spring, which was predicted to triple collision rates compared to high visibility, independent of bird migration traffic.

Synthesis and applications: Although legislation to turn off unnecessary nocturnal lighting for the entirety of the migration seasons may be an ultimate goal, a proximate goal invaluable for reducing collisions will be predicting which nights will be of highest risk and using this information to determine when mitigation efforts could be most effective.
Decoding climate change dynamics in Malaysia: Analysing energy, economic growth, foreign direct investment, and oil prices interplay
Authors: Bi Kejia , Masud Muhammad Mehedi , Akhtar Rulia , Md Noman Abu Hanifa , Zhao Yan , Al‐Mamun Abdullah 
Published: February 2024

AbstractAs a prominent CO2 producer in Southeast Asia, Malaysia is taking steps to mitigate carbon emissions amid its rapid economic expansion. However, there remains a limited understanding of the complex relationships among various factors such as domestic credit (DRC), energy consumption, green technology policy (GTP), oil prices (OPs), and FDI in shaping CO2 emissions. This study addresses this gap by examining both symmetric and asymmetric impacts of these factors—FDI, renewable and non‐renewable energy consumption, OP, GTP, DRC, and gross domestic products (GDP)—on CO2 emissions in Malaysia, considering both short and long‐term effects. Our research, which combines block exogeneity causation with ARDL and non‐linear ARDL cointegration approaches, spans data from 1980 to 2021 and provides several significant discoveries. This study provides support for the Environmental Kuznets curve hypothesis, highlighting the intricate balance between economic growth and environmental conservation. The symmetric findings reveal that factors such as high GDP, FDI, renewable energy consumption, and OP tend to increase emissions, while GTP and DRC have a mitigating effect on CO2 levels over both short and long periods. Moreover, FDI and OP show positive associations with CO2 emissions across various timeframes, whereas non‐renewable energy consumption displays a negative correlation with CO2 emissions. These findings have significant implications for Malaysia's environmental policies and strategies.
Flavonoids and phenolic acids from sugarcane: Distribution in the plant, changes during processing, and potential benefits to industry and health
Authors: Hewawansa Ulluwis H. A. J. , Houghton Michael J. , Barber Elizabeth , Costa Ricardo J. S. , Kitchen Barry , Williamson Gary 
Published: February 2024

AbstractSugarcane (Saccharum sp.) plants are grown in warmer climates throughout the world and processed to produce sugar as well as other useful byproducts such as molasses and bagasse. Sugarcane is rich in (poly)phenols, but there has been no attempt to critically evaluate the published information based on the use of suitable methodologies. The objective of this review is to evaluate the quantitative and qualitative (poly)phenolic profiles of individual parts of the sugarcane plant and its multiple industrial products, which will help develop new processes and uses for sugarcane (poly)phenols. The quantitative analysis involves the examination of extraction, concentration, and analytical techniques used in each study for each plant part and product. The qualitative analysis indicates the identification of various (poly)phenols throughout the sugarcane processing chain, using only compounds elucidated through robust analytical methodologies such as mass spectrometry or nuclear magnetic resonance. In conclusion, sugarcane (poly)phenols are predominantly flavonoids and phenolic acids. The main flavonoids, derivatives of apigenin, luteolin, and tricin, with a substantial proportion of C‐glycosides, are consistently found across all phases of sugarcane processing. The principal phenolic acids reported throughout the process include chlorogenic acids, as well as ferulic and caffeic acids mostly observed after hydrolysis. The derivation of precise quantitative information across publications is impeded by inconsistencies in analytical methodologies. The presence of multiple (poly)phenols with potential benefits for industrial applications and for health suggests sugarcane could be a useful provider of valuable compounds for future use in research and industrial processes.