bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanism of digital business model innovation for common prosperity: based on resource orchestration perspective
Authors: Sun Fang , Li Jia , Bai Fu-ping 
Published: May 2024

Purpose
By exploring the microimplementation mechanism of common prosperity, this paper aims to offer a strategic direction for Chinese enterprises to achieve sustainable development. It also provides theoretical support and practical guidance for the Chinese Government in exploring feasible paths to common prosperity, starting from the enterprises.

Design/methodology/approach
This paper takes the digital business model innovation of Rainbow Planet as a case study, systematically explicating the mechanism through which digital business model innovation fosters common prosperity by constructing a research framework of “digital business model innovation-resource orchestration-common prosperity.”

Findings
First, from a microperspective, the role of enterprises in promoting common prosperity in China is confirmed. Second, based on the theory of resource orchestration, it is concluded that digital resources can generate three types of digital effects, such as association, interaction and feedback, through effective resource orchestration under the support of the value elements of the business model. Finally, this paper emphasizes that enterprises should take actions such as demand aggregation, trust building and relationship reshaping to connect with relevant stakeholders, so as to achieve the win-win purpose of improving enterprise competitiveness and deepening common prosperity.

Originality/value
For Chinese enterprises, linking their development with the overall welfare of society is an essential path to sustainable development. Enterprises can promote the integration of their development with social welfare in three aspects: enhancing the efficiency and innovation capability of digital operations, strengthening cooperation with stakeholders and advancing sustainable business models. For the Chinese Government, it is important to encourage enterprises to play a positive role in the fields of economy, environment and society. The government can promote excellent practices in digital innovation, social responsibility and environmental protection among enterprises by publicizing successful cases, inspiring more enterprises to follow suit.
Sculpting the feelings: influence of immersive technology on responsible travel
Authors: Fatma Anam , Bhatt Vimal 
Published: May 2024

Purpose
This study aims to examine how the telepresence of tourists using immersive technology affects responsible travel behaviour at natural heritage sites by exploring the role of feelings.

Design/methodology/approach
This study proposed a conceptual model that was empirically tested. Data was collected through online and offline surveys from 672 respondents who used AR/VR while visiting the natural heritage sites. PLS-SEM was used to analyze the data using SmartPLS 4.0.

Findings
The findings of this study highlight how feelings are processed as information when tourists are exposed to immersive technologies. These feelings, in addition to perceived value and destination attractiveness, affect responsible travel behaviour.

Research limitations/implications
This study adds to the literature by offering insights concerning the tourists’ feelings related to responsible travel that can be evoked by getting involved in the virtual worlds. The findings suggest how managers can use immersive technology-based campaigns to promote responsible travel at natural heritage sites.

Originality/value
The literature does not elucidate the role of feelings and its dimensions (emotions and metacognitive experience) in explaining the effect of immersive technology in evoking responsible travel behaviour in the context of tourism. The current study addresses this gap and extends prior research by theorizing that feelings-as-information is the missing link between why tourists behave in a certain way, given a specific immersive stimulus.
Analyzing the opening and closing of windows in residential for predicting the energy consumption using optimized multi-scale convolution networks
Authors: Sivapriya C. , Subbaiyan G. 
Published: May 2024

PurposeThis proposal aims to forecast energy consumption in residential buildings based on the effect of opening and closing windows by the deep architecture approach. In this task, the developed model has three stages: (1) collection of data, (2) feature extraction and (3) prediction. Initially, the data for the closing and opening frequency of the window are taken from the manually collected datasets. After that, the weighted feature extraction is performed in the collected data. The attained weighted feature is fed to predict energy consumption. The prediction uses the efficient hybrid multi-scale convolution networks (EHMSCN), where two deep structured architectures like a deep temporal context network and one-dimensional deep convolutional neural network. Here, the parameter optimization takes place with the hybrid algorithm named jumping rate-based grasshopper lemur optimization (JR-GLO). The core aim of this energy consumption model is to predict the consumption of energy accurately based on the effect of opening and closing windows. Therefore, the offered energy consumption prediction approach is analyzed over various measures and attains an accurate performance rate than the conventional techniques.Design/methodology/approachAn EHMSCN-aided energy consumption prediction model is developed to forecast the amount of energy usage during the opening and closing of windows accurately. The emission of CO2 in indoor spaces is highly reduced.FindingsThe MASE measure of the proposed model was 52.55, 43.83, 42.01 and 36.81% higher than ANN, CNN, DTCN and 1DCNN.Originality/valueThe findings of the suggested model in residences were attained high-quality measures with high accuracy, precision and variance.
Workplace spirituality and critical thinking skills of faculty in higher education in Pakistan: the mediating role of knowledge management
Authors: Bhutto Sobia , Mydin Alamin , Hyder Kamran , Sarki Irshad Hussain , Rind Gul Muhammad 
Published: May 2024

PurposeThis study aims to investigate the relationship between workplace spirituality (WPS) and faculty critical thinking (CT) and the mediating effect of knowledge management (KM) among faculty at public universities.Design/methodology/approachThe study employed a quantitative, cross-sectional research design to attain the objective. Using simple random sampling, the data were collected from 295 faculty members working in public universities in Sindh, Pakistan. The hypothesized relationships were tested using structural equation modeling (SEM) based on covariance and mediation analysis was conducted using Preacher and Haye’s (2008) approach.FindingsFindings revealed a significant positive association between WPS, KM and faculty CT. In addition, the results indicated that KM played a partial mediating role in the relationship between WPS and CT.Practical implicationsEncouraging WPS can cultivate an environment of transparency, teamwork and knowledge exchange, promoting and enhancing faculty CT abilities.Originality/valueRare research exists regarding the connections between WPS, KM and CT in the Pakistani higher education system.
A blockchain technology for improving financial flows in humanitarian supply chains: benefits and challenges
Authors: Negi Saurav 
Published: May 2024

Purpose
This study aims to determine how the applications of blockchain technology (BT) can play a crucial role in managing financial flows in the humanitarian supply chain (HSC) and what benefits and challenges are associated with BT in a humanitarian setting.

Design/methodology/approach
The present study used a qualitative research approach, incorporating a systematic literature review and conducting semi-structured interviews with 12 experts in the fields of humanitarian operations, supply chain management, fintech and information technology.

Findings
The findings show that the humanitarian sector has the potential to reap significant benefits from BT, including secure data exchange, efficient SCM, streamlined donor financing, cost-effective financial transactions, smooth digital cash flow management and the facilitation of cash programs and crowdfunding. Despite the promising prospects, this study also illuminated various challenges associated with the application of BT in the HSC. Key challenges identified include scalability issues, high cost and resource requirements, lack of network reliability, data privacy, supply chain integration, knowledge and training gaps, regulatory frameworks and ethical considerations. Moreover, the study highlighted the importance of implementing mitigation strategies to address the challenges effectively.

Research limitations/implications
The present study is confined to exploring the benefits, challenges and corresponding mitigation strategies. The research uses a semi-structured interview method as the primary research approach.

Originality/value
This study adds to the existing body of knowledge concerning BT and HSC by explaining the pivotal role of BT in improving the financial flow within HSC. Moreover, it addresses a notable research gap, as there is a scarcity of studies that holistically cover the expert perspectives on benefits, challenges and strategies related to blockchain applications for effective financial flows within humanitarian settings. Consequently, this study seeks to bridge this knowledge gap and provide valuable insights into this critical area.
What motivates the intention of seeking confirmed cases' activity trajectory information in public health emergencies? An information ecology theory analysis
Authors: Yang Liu , Yu Nannan , Li Xuesong , Wang Jian 
Published: May 2024

PurposeIn public health emergencies, seeking confirmed cases’ activity trajectory information (CCATI) is crucial to the public’s efforts to combat the epidemic. The public can stabilize their sentiments and mitigate the risk of cross-infection by obtaining CCATI. We investigated the factors influencing users' intentions to seek CCATI to enhance the government’s risk communication capabilities and improve information platform services.Design/methodology/approachWe analyzed how information ecological factors affect the intention to seek CCATI through perceived value. Data was collected from 429 Chinese citizens during the fourth wave of the coronavirus disease 2019 (COVID-19) pandemic. We used the structural equation model technology and bootstrap mediation effect test to examine the model.FindingsInformation understandability, information relevance, perceived severity and perceived vulnerability directly and positively affect the intention of seeking CCATI. While, the above relationships are also partially mediated by emotional value and functional value. Social support directly and negatively affects the intention of seeking CCATI, while the relationship is also partially mediated by emotional value and functional value. Curiosity directly and positively affects the intention of seeking CCATI, while the relationship is also partially mediated by emotional value. The relationship between the quality of the search service and the intention of seeking CCATI is not significant, instead, it is fully mediated by functional value. The influence effect of information relevance on the intention of seeking CCATI is the greatest, followed by perceived vulnerability. The mediating effect of functional value is higher than emotional value.Practical implicationsThe findings may help governments enhance their risk communication capabilities and improve epidemic prevention and control measures, enhancing the appeal of information platforms.Originality/valueWe focused on CCATI, an area with limited scholarly attention. We analyzed CCATI-seeking factors using an information ecology theory, introducing perceived value as a mediator, thus offering novel perspectives and models.
Generative artificial intelligence (AI) tools in innovation management: a study on the appropriation of ChatGPT by innovation managers
Authors: Cimino Antonio , Felicetti Alberto Michele , Corvello Vincenzo , Ndou Valentina , Longo Francesco 
Published: May 2024

PurposeUsing AI to strengthen creativity and problem-solving capabilities of professionals involved in innovation management holds huge potential for improving organizational decision-making. However, there is a lack of research on the use of AI technologies by innovation managers. The study uses the theory of appropriation to explore how specific factors – agile leadership (AL), innovation orientation (IO) and individual creativity (IC) – impact innovation managers' use of generative AI tools, such as ChatGPT (CGA).Design/methodology/approachThe research model is tested through a large-scale survey of 222 Italian innovation managers. Data have been analyzed using structural equation modeling following a two-step approach. First, the measurement model was assessed to ensure the constructs reliability. Subsequently, the structural model was analyzed to draw the conclusions on theorized model relationships and their statistical significance.FindingsThe research findings reveal positive associations between IO and IC with CGA, demonstrating that innovation managers who exhibit strong innovation orientations and higher Individual Creativity are more likely to adopt and personalize ChatGPT. However, the study did not confirm a significant association between AL and CGA.Originality/valueOur findings have important implications for organizations seeking to maximize the potential of generative AI in innovation management. Understanding the factors that drive the adoption and customization of generative AI tools can inform strategies for better integration into the innovation process, thereby leading to enhanced innovation outcomes and improved decision-making processes.
Quality of teaching & learning in higher education: a bibliometric review & future research agenda
Authors: Chaudhary Priya , Singh Reetesh K. 
Published: May 2024

Purpose
This study aims to visualize and map the emerging themes in the field of quality of teaching and learning in higher education.

Design/methodology/approach
This study uses a bibliometric approach to review studies published between 2000 and 2021. The leading trends in authorship, publications and countries were analyzed using the Web of Science database.

Findings
The analysis reveals four distinct clusters: quality, teaching and learning, supportive environment and learning outcomes. The literature in the field is lop-sided, and many issues still need to be addressed.

Research limitations/implications
While bibliometric analysis has achieved significant recognition among academicians, this study was restricted to the data set provided by Web of Science. In addition, the analysis covers a specific time frame and may not capture recent developments in the field. Future research should address these limitations and consider expanding the sample size and incorporating more diverse methodologies.

Practical implications
The findings have implications for practitioners, policymakers and researchers. Practitioners can benefit from the identified core authors’ work and access evidence-based practices to enhance the quality of teaching and learning in their institutions. Policymakers can use the research findings to inform policymaking processes and develop robust quality assurance frameworks. Researchers can build upon the identified clusters and core authors’ work to address research gaps and advance knowledge in the field.

Originality/value
This study contributes to the existing literature by providing a comprehensive bibliometric review of the quality of teaching and learning in higher education. Identifying clusters and core authors offers a systematic overview of the significant themes and influential figures within the field. This research provides a foundation for further exploration and understanding of quality in higher education.
Eco-green mirage: investigating turnover intention as organizational turbulence through perceived greenwashing, cynicism and alienation
Authors: Srivastava Shalini , Saxena Anubhuti , Sarkar Ayatakshee 
Published: May 2024

Purpose
Using social and moral identity theory, this study aims to investigate the influence of perceived greenwashing on employee work attitudes by using social and moral identity theory. By examining the relationships between perceived greenwashing, employee cynicism, work alienation and turnover intention, this study unveils essential mechanisms that shed light on the complex relationship between these variables.

Design/methodology/approach
The study gathered data from a sample of 267 employees in the service industry and used variance-based structuring equation modeling to test the hypothesized associations. The results of the study indicated a positive relationship between perceived greenwashing and turnover intention.

Findings
Employee cynicism and work alienation emerged as crucial mediating factors, revealing the underlying psychological dynamics linking perceived greenwashing to turnover intention. Moreover, the study identified organizational pride as a powerful moderator that mitigates the adverse effects of greenwashing on employee attitudes.

Practical implications
Genuine and transparent environmental practices are crucial in the service industry to avoid misleading claims, safeguard reputation and establish trust. Leaders should exemplify genuine commitment to environmental practices, serving as role models. Regular and honest feedback mechanisms should be established to gauge employee perceptions of the organization’s environmental initiatives. Educating employees about the signs of deceptive practices can empower them to make informed judgments, reducing the likelihood of falling victim to misrepresentations and mitigating associated negative outcomes.

Originality/value
The current research seeks to shed light on the profound impact of greenwashing on employees, an area that has been surprisingly overlooked. The study responds to the call of the antecedents that influence employees’ intentions to leave their organizations. The study explored the vital relationship between perceived greenwashing and employee attitudes, thereby contributing valuable insights to the existing literature on the sustainable practices of organizations, particularly those in the service industry.
IT integration implementation in e-government public sector in developing countries: a systematic literature review and model development
Authors: Madaki Adamu Sa'ad , Ahmad Kamsuriah , Singh Dalbir 
Published: May 2024

PurposeThis paper examines factors influencing successful information technology (IT) integration in developing countries’ e-government sectors, analyzing benefits and challenges to understand interconnections among factors. This study aims to overcome barriers and maximize benefits, contributing to advancing knowledge and effective IT integration implementation practices, to enhance service delivery.Design/methodology/approachThis paper uses interpretive philosophy and qualitative methods to explore factors affecting IT integration implementation. Using systematic literature review, it identifies key knowledge, insights and future research directions, contributing to theory enrichment through model development elucidating IT integration factors influencing IT integration implementation in the e-government public sector and its broader ecosystem.FindingsThe findings indicate that while IT integration implementation enhanced efficiency, data security and service delivery, implementation challenges such as resource constraints, resistance to change and interoperability issues, exacerbated by the COVID-19 pandemic’s impact on remote and hybrid work, are evident. Unique to Nigeria are public trust and unreliable power supply issues, significantly impacting service delivery. Notably, the study emphasizes the interconnection between these challenges and benefits, illustrating the complexity of IT integration in the e-government public sector, aligning with similar findings in the literature on other countries.Research limitations/implicationsLimitations include regional variations and a narrow temporal scope, impacting generalizability. Methodological choices may affect inclusivity, and contextual factors might not be fully captured. Policymakers can use findings for targeted strategies, while collaboration fosters understanding and monitoring ensures sustained success.Originality/valueThe study’s originality lies in its comprehensive examination of IT integration in the e-government sector, especially in developing countries like Nigeria. Through a systematic review from 2004 to 2024, it identifies unique challenges and benefits, emphasizing management’s role and proposing innovative frameworks for future research.
Creating a minority threat: Assessing the spillover effect of local immigrant detention on Hispanic arrests
Authors: Muchow Ashley N. 
Published: May 2024

AbstractAmid punitive shifts in crime and immigration control during the 1980s and 1990s, Hispanic individuals comprised a growing share of the population confined in U.S. prisons and jails. Although it is widely acknowledged that the nation's wars on crime and drugs contributed to higher rates of minority arrest, limited empirical research has examined whether the merging of immigration control with criminal justice practice during this period intensified these disparities. This article uses county‐level arrest data from California between 1980 and 2004 to investigate whether intergovernmental service agreements (IGSAs) leasing jail space for immigrant detention increased rates of Hispanic arrest. Employing a quasi‐experimental design that leverages the staggered adoption of IGSAs across counties, this study finds that these agreements increased rates of Hispanic arrest but had no discernible impact on arrest rates for White or Black residents. Supplemental analyses reveal that these increases were driven by misdemeanor arrests and were particularly pronounced in counties where the Hispanic population comprised between 11 and 22 percent. These findings suggest that IGSAs may trigger minority threat concerns that increase arrests, shedding additional light on Hispanic representation in the criminal justice system.