bluuebunny/crossref_metadata_2025_split huggingface dataset:
The internationalization of digital platform firms: the platform-OLI (P-OLI) framework
Authors: Surana Ankit , Chavan Meena , Kumar Vikas , Chirico Francesco 
Published: August 2024

PurposeThe aim of this paper is to explore the internationalization of digital platform firms, specifically to investigate the advantages digital platform firms build during the internationalization journey, which helps them overcome the liability of foreignness. More importantly, drawing on network theory and Luo’s framework of new OLI advantages, a new framework of Platform OLI (P-OLI) advantages is developed for digital platform firms.Design/methodology/approachThis study adopts a multi-case method to empirically understand the internationalization phenomenon of digital platform firms in the emerging economy of India, which is a less researched area. Twenty semi-structured interviews from top executives of 12 Indian headquartered digital platform firms were inductively analyzed based on Gioia’s method, and a cross-case examination was conducted to explore the respondent firm’s internationalization journey.FindingsSeveral novel open resource and linkage advantages were identified for digital platform firms that are not covered by the new OLI advantages proposed by Luo. Furthermore, a new “I” advantage, which is information and knowledge advantage, has evolved from the data. This resulted in enhancing the scope of the new OLI framework and network theory and further enabled us to develop the P-OLI framework, a new framework for digital platform firms that reflects the specific advantages a digital platform firm builds during internationalization.Originality/valueThis is the first study which evaluates the new OLI framework from the perspective of a digital platform firm to develop a novel framework, P-OLI. Further, this study is among the few studies with an Indian digital platform firm focus and relies on primary interview data to study digital platform firms’ internationalization phenomenon.
Shaping the future: discursive practices in promoting public relations education at UK universities
Authors: Zeler Ileana , Bridgen Elizabeth 
Published: August 2024

PurposeThis study aims to provide a comprehensive analysis of how discursive practices shape the promotion of public relations undergraduate programmes in the context of market-driven UK higher education.Design/methodology/approachResearch combines a descriptive analysis of the UK universities offering public relations undergraduate degrees and a critical discourse analysis of the online prospectus entries of 25 public relations undergraduate programmes (often called “courses” in the UK), focussing on the course/programme overview and career path sections.FindingsThis wide-ranging review of UK universities’ communication of their public relations provision demonstrates that although the student as consumer has choice, the presentation of the programmes is sometimes “headline grabbing” and often positions public relations as a tactical subject, emphasising promotion and practical skills. Overall, public relations is taught alongside subjects such as marketing, journalism and advertising, and these subjects are foregrounded in promotional material when discussing teaching and potential career paths. Public relations is a difficult subject to explain within the confines of a university prospectus, with the result that it is frequently presented as a promotional practice with little connection to management, leadership or academic research.Originality/valueTo the best authors' knowledge, this is the first study exploring the discursive practices that shape the promotion of public relations undergraduate programmes in UK universities.
When does entrepreneurial leadership enhance supply chain resilience? A three-way interaction analysis
Authors: Al-Swidi Abdullah Kaid , Al-Hakimi Mohammed A. , Al-Hosam Asma , Al Koliby Ibraheem Saleh 
Published: August 2024

PurposeThe research on entrepreneurial leadership (EL) and supply chain resilience (SCR) relationship is still in its exploration stage. Previous research indicates that EL is important for enhancing supply chain performance, including its resilience. However, the conditions through which EL affects SCR remain unclear. The purpose of this study is to examine the effect of EL on SCR in the context of SMEs, in addition to explore the combined moderating effects of big data analytics capability (BDAC) and environmental dynamism (ED) in the EL–SCR relationship.Design/methodology/approachHierarchical regression analysis via PROCESS Macro was used to analyze the data collected from manufacturing SMEs in India.FindingsThe findings reveal that EL positively and significantly affects SCR. Importantly, BDAC actually positively moderates the EL–SCR relationship regardless of the level of dynamism of the business environment.Originality/valueThis research expands the existing body of knowledge on EL and SCR within the context of developing countries. The findings offer useful insights for SME managers and decision-makers, who are anticipated to consider the adoption of BDAC in their firms. This has implications that with BDAC adoption, it is anticipated that SMEs will be able to take advantage of the full potential of EL to enhance their SCR regardless of the level of dynamism of the business environment.
Nurses’ actions for Covid-19 patients' transitioning from hospital to home: a scoping review
Authors: Lanzoni Gabriela Marcellino de Melo , Cechinel-Peiter Caroline , Wachholz Laísa Fischer , Backman Chantal , Costa Maria Fernanda Baeta Neves Alonso da , Santos José Luis Guedes dos , Schaefer Ferreira de Mello Ana Lúcia 
Published: August 2024

PurposeTo map nurses’ actions performed during the care transitions from hospital to home of Covid-19 patients.Design/methodology/approachA scoping review based on the Joanna Briggs Institute guidelines was carried out. We searched in seven databases: PubMed/MEDLINE, BDENF, LILACS, SciELO, Embase, Scopus, Web of Science and Google Scholar. A two-step screening process and data extraction was performed independently by two reviewers. The findings were summarized and analyzed using a content analysis technique.FindingsOf the total 5,618 studies screened, 21 were included. The analysis revealed nurses’ actions before and after patient’ discharge, sometimes planned and developed with the interprofessional team. The nurses’ actions included to plan and support patients’ discharge, to adapt the care plan, to use screening tools and monitor patients’ clinical status and needs, to provide health orientation to patients and caregivers, home care and face-to-face visiting, to communicate with patients, caregivers and other health professionals with phone calls and virtual tools, to provide rehabilitation procedures, to make referrals and to orient patients and families to navigate in the health system.Practical implicationsThe results provide a broader understanding of the actions taken and challenges faced by nurses to ensure a safe care transition for Covid-19 patients from hospital to home. The interprofessional integration to discharge planning and the clinical nursing leadership in post-discharge monitoring were highlighted.Originality/valueThe nurses’ actions for Covid-19 patients performed during care transitions focused on coordination and discharge planning tailored to the needs of patients and caregivers at the home setting. Nurses monitored patients, with an emphasis on providing guidance and checking clinical status using telehealth tools.
Enhancing halal food traceability: a model for rebuilding trust and integrity in Muslim countries
Authors: Dashti Laila A.H.F. , Jackson Tom , West Andrew , Jackson Lisa 
Published: August 2024

Purpose
Due to increasing scandals involving non-halal foods, contamination and fraudulent practices within the halal food supply chain, this paper aims to identify pivotal factors closely tied to halal food traceability and subsequently proposes a comprehensive halal food traceability model rooted in these factors.

Design/methodology/approach
The approach involved conducting a content analysis to meticulously gather data from existing scholarly works. Subsequently, the authors analysed this data using a thematic approach.

Findings
The extensive literature review yielded the identification of eight pivotal factors for the adoption and implementation of effective halal food traceability systems. These factors encompass consensus on halal food standards, government support, meeting consumer demands, ensuring the authenticity of halal food integrity, leveraging technological advancements, adherence to halal standards and certification systems, fostering stakeholder collaboration and promoting research and educational initiatives. Building upon these factors, this study presents a halal food traceability factorial model that can serve as a foundation for constructing a robust and readily-adoptable traceability system within Muslim countries.

Practical implications
The proposed halal food traceability model offers invaluable insights to stakeholders within both private enterprises and governmental bodies. By taking into account the identified factors, these stakeholders can significantly enhance their prospects for the successful adoption and implementation of traceability systems. Additionally, the paper expounds upon practical recommendations for practitioners and highlights avenues for future research aimed at establishing a robust halal traceability system across Muslim countries.

Originality/value
This paper stands as a significant contribution within the limited body of research addressing the development of an effective and readily-adoptable traceability model, thereby bolstering the integrity and safety of halal food. The outcomes of this paper are expected to catalyse improvements in the adoption and implementation of halal food traceability practices across Muslim nations.
Prototypically small: an exploration of consumers’ small business prototypes
Authors: Jenkins Michael Ryan 
Published: August 2024

Purpose
As consumers interact with various small businesses, they develop a mental image, called a prototype, to represent what small businesses are as a generalized, conceptual category. However, prior research has said little about what this small business prototype entails. Thus, the aim of this study is to explore consumers’ perceptions of the prototypical small business by identifying common attributes among small businesses that differentiate them from large businesses.

Design/methodology/approach
This study undertakes a thorough review of the relevant consumer research literature for the attributes that consumers use to evaluate small businesses. Then, using a contemporary parallel analysis approach, it conducts an exploratory factor analysis (EFA) on a sample of 266 university students who were asked to evaluate how common those attributes are of small businesses. A second comparative EFA for large businesses is also conducted.

Findings
The EFA reveals two dimensions on which consumers evaluate small businesses: a sincere–authentic dimension and a disruptive–innovative dimension. Specifically, consumers view the prototypical small business to be relatively high on sincere–authentic and moderate on disruptive–innovative dimensions.

Originality/value
Through a comprehensive literature review and exploratory analysis, this study provides a novel understanding of consumers’ conceptualizations of small businesses. In studying the mental image consumers associate with the prototypical small business, this research fills a significant gap in the existing literature and provides important insights for practitioners and researchers alike.
IT professionals’ post-pandemic online learning: UTAUT model study
Authors: Deshmukh Sampada C. , Mehta Mita 
Published: August 2024

Purpose
This paper aims to examine employees’ online learning continuation intentions (OLCI), exploring factors such as performance expectancy (PE), effort expectancy (EE), social influence (SI), perceived benefits (PB) and management support (MS) influencing their commitment to online learning engagement.

Design/methodology/approach
The Unified Theory of Acceptance and Use of Technology (UTAUT) model was expanded to include PB and MS constructs. This study used a quantitative research approach using purposive sampling techniques. Three hundred and eighty-six responses from Indian information technology (IT) professionals at various levels were analysed using Statistical Package for the Social Sciences-Analysis of Moments Structures tool.

Findings
This study found a strong positive influence of PE, EE, PB and MS on OLCI in the context of post-pandemic. Workplace learning rapidly generates outcomes if employees associate it with their career growth. However, the authors found that SI does not significantly affect OLCI.

Originality/value
This research is unique work in the area of workplace learning by evaluating the OLCI of IT professionals using the extended UTAUT model in a new normal. Moreover, this study contributes to online learning literature with a combined study of technology usage, continuance intention and organization learning and development.
A response surface methodology investigation into the optimization of manufacturing time and quality for FFF 3D printed PLA parts
Authors: Temiz Abdurrahim 
Published: August 2024

Purpose
This study aims to examine the impact of specific printing factors, such as layer height, line width and build orientation, on the overall quality of fused filament fabrication (FFF) 3D printed structures. The project also intends to use response surface methodology (RSM) to maximize ultimate tensile strength (UTS) while lowering surface roughness and printing time.

Design/methodology/approach
This study used an FFF printer to fabricate samples of polylactic acid (PLA), which were then subjected to assessments of tensile strength and surface roughness. A tensile test was conducted under standardized conditions according to the ASTM D638 standard test method using the AG-50 kN Shimadzu Autograph. The Mitutoyo Surftest SJ-210, which utilizes a needle-tipped inductive method, was used to determine surface roughness. RSM was used for optimization.

Findings
This work provides useful insights into how the printing parameters affect FFF 3D printed structures, which may be used to optimize the printing process and improve PLA-based 3D printed products' qualities. The determined optimal values for building orientation, layer height and line width were 0°, 0.1 mm and 0.6 mm, respectively. The total desirability value of 0.80 implies desirable outcomes, and good agreement between experimental and projected response values supports the suggested models.

Originality/value
Previous RSM studies for 3D printing parameter optimization focused on mechanical properties or surface aspects, however, few examined multiple responses and their interactions. This study emphasizes the relevance of FFF parameters like line width, which are often overlooked but can dramatically impact printing quality. Mechanical properties, surface quality and printing time are integrated to comprehend optimization holistically.
YVU Dairy, Manipur (Northeast India): strategy for business expansion
Authors: Akoijam Sunildro L.S. , Meitei Ch. Ibohal , Kumar Nitesh , Mehdi Mokhalles 
Published: August 2024

Research methodology
This case study was based on an in-depth investigation of multiple interactions with the Chief Executive Officer (CEO) and feedback from customers. Secondary research approaches involved reviewing articles and reports published on various media platforms. One of the authors has direct access to the CEO and staff members to collaborate on data and information for this case study.

Case overview/synopsis
The case study is about a dairy company operating its business in Manipur (Northeast India).YVU Milk Producer Company Limited (YVUMPCL) is focusing on the growth of its brand YVU Dairy in the northeast Indian market and neighbouring country Myanmar. It was founded in 2013 to provide a livelihood for dairy farmers and fill a demand gap for dairy products in Manipur. Despite numerous opportunities, competencies and efforts, the firm has yet to expand its business significantly. It faced several challenges in expanding the business. This case discusses the strategies adopted by YVU to overcome those obstacles and emphasises the strategy for its expansion.

Complexity academic level
This case study is designed for use in courses in the Bachelor of Business Administration and early Master of Business Administration program. It is ideal for topics such as international marketing, marketing, strategy and entrepreneurship.
Rapid enhanced-DEM using Google Earth Engine, machine learning, weighted and spatial interpolation techniques
Authors: Kandil Walaa Metwally , Zarzoura Fawzi H. , Goma Mahmoud Salah , El-Mewafi Shetiwi Mahmoud El-Mewafi 
Published: August 2024

Purpose
This study aims to present a new rapid enhancement digital elevation model (DEM) framework using Google Earth Engine (GEE), machine learning, weighted interpolation and spatial interpolation techniques with ground control points (GCPs), where high-resolution DEMs are crucial spatial data that find extensive use in many analyses and applications.

Design/methodology/approach
First, rapid-DEM imports Shuttle Radar Topography Mission (SRTM) data and Sentinel-2 multispectral imagery from a user-defined time and area of interest into GEE. Second, SRTM with the feature attributes from Sentinel-2 multispectral imagery is generated and used as input data in support vector machine classification algorithm. Third, the inverse probability weighted interpolation (IPWI) approach uses 12 fixed GCPs as additional input data to assign the probability to each pixel of the image and generate corrected SRTM elevations. Fourth, gridding the enhanced DEM consists of regular points (E, N and H), and the contour interval is 5 m. Finally, densification of enhanced DEM data with GCPs is obtained using global positioning system technique through spatial interpolations such as Kriging, inverse distance weighted, modified Shepard’s method and triangulation with linear interpolation techniques.

Findings
The results were compared to a 1-m vertically accurate reference DEM (RD) obtained by image matching with Worldview-1 stereo satellite images. The results of this study demonstrated that the root mean square error (RMSE) of the original SRTM DEM was 5.95 m. On the other hand, the RMSE of the estimated elevations by the IPWI approach has been improved to 2.01 m, and the generated DEM by Kriging technique was 1.85 m, with a reduction of 68.91%.

Originality/value
A comparison with the RD demonstrates significant SRTM improvements. The suggested method clearly reduces the elevation error of the original SRTM DEM.
Vegetation structure and climate shape mountain arthropod distributions across trophic levels
Authors: Martinez‐Almoyna Camille , Calderòn‐Sanou Irene , Lionnet Clément , Gielly Ludovic , Boyer Frédéric , Dufour Paul , Dunyach Lily , Miquel Christian , Ohlmann Marc , Poulenard Jérôme , Renaud Julien , Saillard Amélie , Si‐Moussi Sara , Stephan Ruth , Varoux Mary ,   The Orchamp Consortium, Münkemüller Tamara , Thuiller Wilfried 
Published: August 2024

Abstract

Arthropods play a vital role in ecosystems; yet, their distributions remain poorly understood, particularly in mountainous regions.

This study delves into the modelling of the distribution of 31 foliar arthropod genera in the French Alps, using a comprehensive approach encompassing multi‐trophic sampling, community DNA metabarcoding and random forest models.

The results underscore the significant importance of vegetation structure, such as herbaceous vegetation density, and forest density and heterogeneity, along with climate, in shaping the distributions of most arthropods. These responses to environmental gradients are consistent across trophic groups, with the exception of nectarivores, whose distributions are more sensitive to landscape structure and water availability.

By leveraging community DNA metabarcoding, this study sheds light on the understudied drivers of arthropod distributions, emphasizing the importance of modelling across diverse trophic groups to anticipate arthropod responses to global change.
Sounds of the underground reflect soil biodiversity dynamics across a grassy woodland restoration chronosequence
Authors: Robinson Jake M. , Taylor Alex , Fickling Nicole , Sun Xin , Breed Martin F. 
Published: August 2024

Abstract

Restoring and monitoring soil biodiversity has never been more important. Ecoacoustics is emerging as a promising tool to detect and monitor soil biodiversity and was recently effective in a temperate forest context. However, there is a need to investigate the efficacy of soil ecoacoustics in other ecosystems and bioregions.

Here, we applied ecoacoustics tools and indices (Acoustic Complexity Index, Bioacoustic Index, Normalised Difference Soundscape Index) to measure soil biodiversity in an Australian grassy woodland restoration chronosequence, spanning three age classes. We collected n = 240 soil acoustic samples from two cleared plots (continuously cleared through active management), two woodland plots undergoing restoration (revegetated 14–15 years ago) and two plots of remnant vegetation over 5 days in Mount Bold, South Australia. We used a below‐ground sampling device and sound attenuation chamber to record soil invertebrate communities, which were also manually counted.

We found that acoustic complexity and diversity were significantly higher in revegetated and remnant plots than in cleared plots, both in‐situ and in sound attenuation chambers. The acoustic complexity and diversity also significantly associated with soil invertebrate abundance and richness.

Synthesis and applications. Our results provide new support that ecoacoustics can help monitor soil biodiversity in different forest restoration contexts, including in UK temperate and Australian grassy woodlands. This technology holds promise in addressing the global need for effective soil biodiversity monitoring methods and protecting our planet's most diverse ecosystems.
Incarceration as welfare: Transgressive female sexuality and the workhouse in West Germany, 1950–1969
Authors: Martin Annalisa 
Published: August 2024

AbstractDespite the rights and protections enshrined in its new constitution, the West German state confined beggars, alcoholics, convicted prostitutes and vagrants in workhouses on criminal sentences until 1969. Using administrative and inmate files, alongside local press coverage, this article turns to the largest remaining workhouse in West Germany, Brauweiler, between 1950 and 1969 and considers the internment of women arrested under the ‘correctional post‐internment’ measure. It explores the gendered experiences of workhouse inmates, from the reasons for their internment to the reproduction of gendered boundaries during incarceration. Rather than providing an institutional history, it considers the micro‐perspective of inmate experiences.
THE PARTNERSHIP QUESTION AS A SCALE QUESTION: Extending the Theorization of Entrepreneurial Urbanism in China
Authors: Zhang Yong 
Published: August 2024

AbstractIn this article I examine recent theoretical and empirical exchanges around partnership‐based urban governance between North Atlantic and Chinese academics and policymakers. I argue that the latest wave of de jure private–public partnerships in urban China reflects an ongoing process of governance rescaling beyond conventional entrepreneurial urbanism theory. I propose an analytical framework that foregrounds successive experimental partnerships as tensions between institutional continuity and change arising from rescaling. In this study I examine variegated actually existing partnerships in Jiyuan, China, to identify generalizable ideal types of partnership‐driven governance rescaling. I conclude by suggesting to enhance the theorization of entrepreneurial urbanism by specifying a partnership‐scale nexus, and assert that variegated partnerships in China have rewritten the rule but not the law of partnership.