bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effects of digital transformation on exploitation and exploration: does technological diversity matter?
Authors: Fu Lihua , Wei Yaxuan , Li Ruijie , Li Yaokuang , Liu Zhiying 
Published: August 2024

PurposeFor survival and prosperity, enterprises need to simultaneously engage in exploitation and exploration. Digital transformation is of great significance to enterprise innovation. However, the impacts of digital transformation on exploitation and exploration remain unclear. Moreover, the impacts of technological diversity on the relationships between digital transformation and exploitation and exploration are also unknown.Design/methodology/approachBased on an integrated perspective of dynamic capability theory and organizational inertia theory and using data from Chinese listed enterprises from 2007 to 2020, this study clarifies the effects of digital transformation on exploitation and exploration and assesses the moderating effect of technological diversity.FindingsThe results show that digital transformation improves exploitation, but negatively impacts exploration. Technological diversity mitigates the negative effect of digital transformation on exploration, but the moderating effect on the relationship between digital transformation and exploitation is not significant.Originality/valueThis study contributes to the existing literature on the digital paradox and provides guidance for enterprises to clarify the direction of digital transformation.
Do green economy stocks matter for the carbon and energy markets? Evidence of connectedness effects and hedging strategies
Authors: Sun Yingyue , Wei Yu , Wang Yizhi 
Published: August 2024

PurposeWe phrase our analysis around the connectedness effects and portfolio allocation in the “Carbon-Energy-Green economy” system.Design/methodology/approachThis paper utilizes the TVP-VAR method provided by Antonakakis et al. (2020) and Chatziantoniou et al. (2021), and portfolio back-testing models, including bivariate portfolios and multivariate portfolios.FindingsFirstly, the connectedness within the “Carbon-Energy-Green economy” system is strong, and is mainly driven by short-term (weekly) connectedness. Notably, the COVID-19 pandemic leads to a vertical increase in the connectedness of this system. Secondly, in the “Carbon-Energy-Green economy” system, most of the sectors in the green economy stocks tend to be the transmitters of shocks to other markets (particularly the energy efficiency sector), while the carbon and energy markets are always the recipients of shocks from other markets (particularly the crude oil market). Thirdly, Green economy sector stocks have satisfactory hedging effects on the market risk of carbon and energy assets. Interestingly, hedging risks in relatively “dirty” assets requires more green economy stocks than in relatively “clean” assets. Finally, the results indicate that portfolios that include green economy stocks significantly outperform portfolios that do not contain green economy stocks, further demonstrating the crucial role of green economy stocks in this system.Originality/valueUnderstanding the interactions and portfolio allocation in the “Carbon-Energy-Green economy” system, especially identifying the role of the green economy performance in this system, is important for investors and policymakers.
Subjective career success among new graduates and the role of personal factors
Authors: Jackson Denise , Bridgstock Ruth , Lambert Claire , Tofa Matalena , Sibson Ruth 
Published: August 2024

PurposeFlatter organisational structures and nonlinear career trajectories mean intrinsic value and subjective career success are increasingly important for motivating, guiding and rewarding contemporary workers. While objective measures of career success have been well explored, more research is needed to understand the dimensions of subjective career success, their relative importance to graduates and potential variations by personal factors. This is critical for supporting graduates’ transition into work and for organisations to attract and retain graduates amid global talent shortages.Design/methodology/approachBuilding on assertions of the power to understand how what one seeks in a career affects career achievement, this study investigated the importance and achievement of subjective career success among 324 recent graduates from two Australian universities.FindingsResults include a notable emphasis on financial security and work-life balance, particularly among mature individuals, underscoring the value of adaptable work arrangements. Results suggest shifting priorities, with reduced importance placed on opportunities for innovation and assisting others, potentially indicating a move from collective to more individualised goals. Distinct graduate profiles emerged, showcasing diverse priorities and achievements in subjective career success, spanning from “humanistic” to “self-made” success.Originality/valueResults underscore the significance of higher education embedding program-wide career development plans across the curriculum, including value-based assessments, labour market analyses and career planning and review processes. Comprehensively supporting students in career development will empower them to explore, understand and actively pursue their career goals in alignment with their values and motivations, enhancing their person-organisation fit, career satisfaction and organisational commitment.
Micro-meso-macro framework: a three-layered approach to understand brand pride
Authors: Marmat Geeta , Kashif Muhammad 
Published: August 2024

PurposeThis study aims to develop a micro-meso-macro framework of brand pride to understand brand pride, its forms, characteristics and the interdependence of this construct, in a comprehensive manner.Design/methodology/approachLiterature in brand pride has been systematically extracted, analysed and evaluated, to propose an integrated framework which presents a holistic view of brand pride.FindingsAt the micro level, brand pride is associated with owning individual level characteristics such as personality, culture, values, beliefs and motivation action and behaviour of the individual; at the meso level, brand pride is associated with characteristics at brand level, actions and behaviour such as brand personality, brand value and image. At the macro level, brand pride is associated with brand interactive characteristics, actions and behaviour, at a broader network of systems and environment such as brand responsible behaviour and brand’s adaptability in creating a robust network in uncertainty.Originality/valueThis paper identifies brand pride as a useful connecting point between brands and the surrounding environment, to achieve a more sustainable branding practice. Although previous researchers explored its effects on brand loyalty in various contexts, a comprehensive, holistic model for enhancing brand pride, suitable for application at various situations and various levels, was missing. This research fills this gap through a unique contribution by proposing a micro-meso-macro framework, which is a three-layered approach to brand pride.
Agent-SwinPyramidNet: an enhanced deep learning model with AMTCF-VMD for anomaly detection in oil and gas pipelines
Authors: Zhang Yizhuo , Zhang Yunfei , Yu Huiling , Shi Shen 
Published: August 2024

PurposeThe anomaly detection task for oil and gas pipelines based on acoustic signals faces issues such as background noise coverage, lack of effective features, and small sample sizes, resulting in low fault identification accuracy and slow efficiency. The purpose of this paper is to study an accurate and efficient method of pipeline anomaly detection.Design/methodology/approachFirst, to address the impact of background noise on the accuracy of anomaly signals, the adaptive multi-threshold center frequency variational mode decomposition method(AMTCF-VMD) method is used to eliminate strong noise in pipeline signals. Secondly, to address the strong data dependency and loss of local features in the Swin Transformer network, a Hybrid Pyramid ConvNet network with an Agent Attention mechanism is proposed. This compensates for the limitations of CNN’s receptive field and enhances the Swin Transformer’s global contextual feature representation capabilities. Thirdly, to address the sparsity and imbalance of anomaly samples, the SpecAugment and Scaper methods are integrated to enhance the model’s generalization ability.FindingsIn the pipeline anomaly audio and environmental datasets such as ESC-50, the AMTCF-VMD method shows more significant denoising effects compared to wavelet packet decomposition and EMD methods. Additionally, the model achieved 98.7% accuracy on the preprocessed anomaly audio dataset and 99.0% on the ESC-50 dataset.Originality/valueThis paper innovatively proposes and combines the AMTCF-VMD preprocessing method with the Agent-SwinPyramidNet model, addressing noise interference and low accuracy issues in pipeline anomaly detection, and providing strong support for oil and gas pipeline anomaly recognition tasks in high-noise environments.
Media representation of African individuals in Australia during the COVID-19 pandemic and its impact on mental health
Authors: Akosile Wole , Tiyatiye Babangida , Bojuwoye Adebunmi , Antabe Roger 
Published: August 2024

Purpose
The purpose of this paper is to explore the impact of media representation on the mental health of Australians of African descent during the COVID-19 pandemic. By analysing the media coverage of COVID-19 restriction breaches, particularly focusing on individuals from African backgrounds, the study aims to shed light on how racially charged narratives can contribute to emotional distress and exacerbate feelings of alienation within these communities. The findings highlight the detrimental effects of such portrayals, emphasising the need for more responsible and inclusive media reporting to safeguard the mental well-being of culturally and linguistically diverse populations.

Design/methodology/approach
The study employed media content analysis to explore representations of Australians of African origin versus the broader Anglo–Australian population during the COVID-19 pandemic, focusing on racial identity’s impact on news coverage of COVID-19 restriction breaches. Researchers classified and distilled extensive textual content, using a diverse sample from various ethnic-racial backgrounds, with an emphasis on African Australians within the CALD community. Data analysis was conducted using NVivo (version 12) software, following an inductive approach.

Findings
The findings underscore the consistent portrayal of people from African communities as outsiders and the racial profiling they experience in media coverage of significant issues like COVID-19.

Originality/value
There is very limited research that examines the impact of media coverage on African migrants during the COVID-19 pandemic.
Tacit knowledge sharing in a Lebanese family business: the influence of organizational structure and tie strength
Authors: Awada Hoda , Haj Youssef Moustafa 
Published: August 2024

PurposeThis study explores the influence of organizational structure on relationship formation and tacit knowledge sharing within a family business context.Design/methodology/approachUtilizing a single case study approach, data were collected through interviews and questionnaires from 12 participants at a family-owned advertising and communication firm in Beirut, Lebanon.FindingsThe research highlights the critical role of organizational structure in enhancing organizational effectiveness through knowledge transfer. It underscores how both intraorganizational and interorganizational ties influence knowledge sharing processes and demonstrates the varying impacts of tie strength on tacit knowledge distribution.Originality/valueThis paper contributes to the literature by examining the interdependence between organizational structure, tacit knowledge transfer and tie strength in family businesses. By analyzing these elements across internal and external boundaries, the study offers a fresh perspective on network dynamics. The research highlights that traditional definitions of network ties may not fully capture the unique environment of family firms, where structural nuances impact knowledge sharing and performance. Practically, the findings provide actionable insights for managers to design organizational structures that optimize tacit knowledge flow, fostering innovation and competitiveness. This work challenges existing frameworks and offers guidance for improving knowledge management in family businesses, supporting sustainable growth and success.
AI in talent management in the digital era – an overview
Authors: Dawson Joseph Yaw , Agbozo Ebenezer 
Published: August 2024

PurposeThe purpose of this study is to provide an overview of artificial intelligence (AI) in the talent management sphere. The study seeks to contribute to the body of knowledge with respect to human resource management and AI by conducting a literature review on the integration of AI in talent management, synthesising existing approaches and frameworks, as well as emphasising potential benefits.Design/methodology/approachThe study adopts desk research, computational literature review (CLR) and uses topic modelling [with bidirectional encoder representations from transformers (BERTopic)] to throw light on the diffusion of AI in talent management.FindingsThe study’s main finding is that the area of AI in talent management is on the verge of gradual development and is in tandem with the growth of AI. We deduced that there is a link between talent management practices (planning, recruitment, compensation and rewards, performance management, employee empowerment, employee engagement and organisational culture) and AI. Though there are some known fears with regards to using the innovation, the benefits outweigh the demerits.Research limitations/implicationsThe current study has some limitations. The scope and size of the sample are the primary limitations of this study. No form of qualitative analytics was used in this study; as a result, the information obtained was limited. The study provides a snapshot of AI in talent management and contributes to the lack of literature in the joint fields. Also, the study provides practitioners and experts an overview of where to target investments and resources if need be.Originality/valueThe originality of this study comes from the combination of CLR methods and the use topic modelling with BERTopic which has not been used by previous reviews. In addition, the salient machine learning algorithms are identified in the study, which other studies have not identified.
Terror and taxes: how attacks impact corporate tax avoidance
Authors: Tran Thuy , Do Trung K. 
Published: August 2024

Purpose
The purpose of this study is to examine the effect of terrorist attacks on tax avoidance. Further, the authors identify the possible channel leading to our main result and examine the role of social pressure.

Design/methodology/approach
Data pertaining to terrorist attacks within the USA are procured from the Global Terrorism Database. The final sample consists of 45,524 firm-year observations from 1993 to 2017. The methodology uses ordinary least squares regressions.

Findings
The authors find that firms located in close proximity to terrorist attacks (i.e. impact firms) significantly decrease their tax avoidance practices after the attacks. The authors further find that these impact firms are willing to pay more taxes post attack when their headquarters are located in higher social capital regions.

Originality/value
Studies have mainly focused on the macroeconomic effects of terrorism, and only recently have researchers shifted their focus to firm-level impacts. The authors provide strong evidence that extends the second line of the literature by exploring corporate tax activities attributed to terrorist events.
Future-proofing quality education using integrated assessment systems
Authors: Chamba Lucy Tambudzai , Chikusvura Namatirai 
Published: August 2024

Purpose
Current assessment models in education have focused solely on measuring knowledge and fail to address the goals of Sustainable Development Goal 4 (SDG4) for a well-rounded, future-proof education. While SDG4 emphasizes quality education, traditional assessments do not account for the diverse skills and intelligence learners possess. This gap between assessment and the needs of SDG4 presents a conundrum for educators: How can we develop assessment strategies that encompass multiple intelligences and prepare learners for the future while ensuring the delivery of quality education as outlined by SDG4? This paper aims to propose integrated assessment strategies as a solution, examining their effectiveness in assessing multiple intelligences and supporting the future-proofing agenda within quality education.

Design/methodology/approach
The study used a qualitative research design. Interviews were held up to saturation point with 60 teachers and students purposively selected from schools in ten provinces across the country. Data from interviews were analysed using thematic network analysis. The data were complemented by documentary analysis from the Ministry of Primary and Secondary Education, Zimbabwe documents which included Curriculum Frameworks and policy documents as well as a systematic literature review.

Findings
Results indicated that integrated assessment systems provide an avenue for testing deeper learning and help students acquire competencies needed in the world of work, such as problem-solving and teamwork. However, certain conditions mitigate against the effective implementation of integrated assessment in schools.

Research limitations/implications
This study uses the use of a qualitative research methodology, hence the generalizability of results in other settings may not be possible. The data collected from the research findings was manually coded and analysed. However, coding the data manually allowed the researchers to be fully immersed in the emerging themes enriching the study with additional data. This means that in-depth data engagement was ensured.

Practical implications
The paper concludes that integrated assessment provides authentic assessment which prepares learners for the future. The study recommends that the government should redress the teaching-learning environment in schools for effective implementation of integrated assessment systems so that not only one regime of intelligence is tested and future-proofing of quality is guaranteed.

Originality/value
The research contributes to increasing the motivation to deliver quality education by investing in integrated evaluation systems.
Valency‐Conditioned Allomorphy in the Verbal Agreement of the Takestani Dialect of Southern Tati
Authors: Taherkhani Neda , Dolatian Hossep 
Published: August 2024

AbstractThis paper studies the morphological structure of verbs in Takestani, an endangered Iranian dialect of Southern Tati. We analyse the effects of various morphological conditions on subject agreement allomorphy. The agreement suffix exhibits a large range of allomorphs in the past tense. We show that the primary factor for the agreement allomorphy is the valency of the root, and secondary factors are the presence of auxiliaries or perfective aspect. We also propose that the agreement allomorphy is a long‐distance process. The agreement allomorphy is conditioned by the voice or transitivity of the verb stem even though the stem is not directly adjacent to the agreement suffix. Alternative formulations in terms of clitics vs. suffixes do not negate the long‐distance nature of this allomorphy. We also find morphomic patterns of behaviour, such that the verbal agreement suffixes are mobile and can alternatively surface as possessive suffixes on nouns.
Issue congruence in international organizations: A study of World Bank spending
Authors: Heinzel Mirko , Reinsberg Bernhard , Zaccaria Giuseppe 
Published: August 2024

AbstractInternational organizations (IOs) are often criticized for insulated decision‐making processes that do not react to the preferences of key stakeholders that are directly affected by them. However, empirical studies probing the degree to which IOs’ policies are aligned with the preferences of such key constituencies are scarce. This paper tackles the gap by studying the case of the World Bank. We argue that congruence with stakeholder preferences increases when recipients have institutional means of participation and decreases when donors restrict the purposes of their funds. We utilize survey data from 269 stakeholder surveys conducted in 114 countries between 2012 and 2022 for our empirical analysis. Our findings carry important implications for the responsiveness of IOs to stakeholders in low‐ and middle‐income countries.
Impact of device variability and protocol differences on kidney function during normothermic machine perfusion: A comparative study using porcine and human kidneys
Authors: Lantinga Veerle A. , Arykbaeva Asel S. , Spraakman Nora A. , Blom Elwin W. P. , Huijink Tobias M. , de Vries Dorottya K. , Ploeg Rutger J. , Alwayn Ian P. J. , Leuvenink Henri G. D. , Moers Cyril , van Leeuwen L. Leonie 
Published: August 2024

AbstractIntroductionA growing interest in renal normothermic machine perfusion (NMP) has resulted in more clinically available perfusion devices. While all perfusion systems have the same aim, there are significant differences in their circuits, pumps, sensors, and software. Therefore, our objective was to assess the impact of different perfusion protocols and devices on kidney function and perfusion parameters during NMP.MethodsPorcine kidneys were subjected to 30 min of warm ischemia, 24 h of static cold storage, and subsequently perfused for 6 h using (1) the Kidney Assist (KA) machine with a pressure of 75 mm Hg, (2) the KA device incorporating several adjustments and a pressure of 85 mm Hg (modified KA), or (3) the Perlife (PL) perfusion device (n = 4). Consecutively, discarded human kidneys were perfused using the KA or modified KA (n = 3) protocol.ResultsThe PL group quickly reached the device’s upper flow limit and consequently received a significantly lower pressure compared to the KA groups. The arterial pO2 was significantly lower in the PL group. Yet, hemoglobin concentration increased over time, and oxygen consumption was significantly higher compared to the KA groups. Fractional sodium excretion was significantly lower in the PL group. Tissue ATP levels, urine production, and creatinine clearance rates did not differ between groups. In human kidneys, the modified KA group showed significantly lower vascular resistance, higher oxygen delivery, and lower levels of lactate in the perfusate compared to the KA group.ConclusionsThis study shows that perfusion characteristics and kidney function are significantly influenced by the perfusion protocol and the device and its settings during normothermic machine perfusion and therefore should be interpreted with caution.