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1.
001-es BibID:
BIBFORM129536
035-os BibID:
(Scopus)105003494762 (WoS)001474709200001
Első szerző:
Mufti Tahir Niyaz (Human Resources Management)
Cím:
Research Trends in Workforce Planning in the Automotive Sector: A Comprehensive Review / Mufti Tahir Niyaz, Dejsi Qorri, Krisztián Kovács, Csilla Juhasz
Dátum:
2025
ISSN:
2076-3387
Megjegyzések:
As the automotive industry continues to develop due to technological advancements, so too do the challenges connected with globalization of operations and the strategic management of human resources. Therefore, our objective was to mapthecurrent research work performed for the period of 2014-2024. Moreover, we conducted a comprehensive analysis regarding emerging topics related to strategic human resources, workforce planning and forecasting, employee wellness, and reskilling/upskilling. Study Design/Methodology/Approach: The methodology used for this review was a Systematic Literature Review, following the PRISMA protocol to remove biases in the review. The search keywords were: workforce planning, strategic HR, skills, employee wellness, and upskilling. In total, 180 articles were retrieved from SCOPUS. Findings: We found that the scholarly work over the year has fluctuated, showing an overall increasing trend of scientific production. The principal themes discussed were ?human, ergonomics, and industrial research`. The research trends were: leadership, knowledge management, innovation, skills, and COVID-19. We concluded that most of the impact on employee satisfaction and upskilling is on an operational level. Originality/Value: Furthermore, our comprehensive review offers theoretical and practical implications in line with the COVID-19 impact and HRstrategies.
Tárgyszavak:
Társadalomtudományok
Gazdálkodás- és szervezéstudományok
idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
trends
productivity and satisfaction
HR strategies
workplace
automotive industry
automotive sector
comprehensive review
Megjelenés:
Administrative Sciences. - 15 : 4 (2025), p. 140-. -
További szerzők:
Qorri, Dejsi (1998-) (PhD Hallgató)
Kovács Krisztián (1981-) (okleveles gazdasági agrármérnök)
Juhász Csilla (1970-) (agrármérnök, mérnöktanár, felsőoktatási menedzser)
Internet cím:
Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
2.
001-es BibID:
BIBFORM125161
Első szerző:
Qorri, Dejsi (PhD Hallgató)
Cím:
A Pragmatic Study of Green Marketing Language impact in Agri-food packaging: An Integrative Marketing Business Model / Qorri Dejsi, Idogwu Esther, Chhabra Aashima, Kovács Krisztián
Dátum:
2024
Megjegyzések:
The increasing environmental concerns have shaped the promoting strategies by incorporating the green marketing. The main communication tool used by agri-food companies are the packages, were sometimes an exaggerated language is used, and often and a higher price for the consumers. Despite this, incorporating business strategies not only aligns with ethical practices but also increases market competitiveness. As such, our study analysis how agri-food companies are selling their product to consumer by using green marketing. The data comes from the green food sold by the main retail shops in Hungary. The methodology used is the thematic analysis and corporate sustainable responsibility (CSR) framework. We analyzed the language used in their packages such as words, their content and the context used by using pragmatics. Moreover, a thorough synthesis of studies that analyze the green language in packages was conducted. We used R programming for data analysis and vizualization. The findings show that green marketing language is align in two aspects: the green packaging and/ or bio (organic) products. In addition we provides an indepth summary of words/ lingustic used , the dimension / context used, SDGs goals it aligns. We propose an adaptable framework how agri-food companies can ensure long-term profits and profitability by using green marketing language in align with sustainability goals.
ISBN:
9786156489463
Tárgyszavak:
Társadalomtudományok
Szociológiai tudományok
előadáskivonat
könyvrészlet
Green Marketing
agri-food companies
linguistics
CSR
packaging language
value chains
Megjelenés:
Marketingnyelvészet 2024 = Marketing linguistics 2024: nemzetközi tudományos konferencia : Absztraktfüzet / szerk. Kovács László, Szőke Viktória, Szalai Vivien. - p. 44. -
További szerzők:
Idogwu Esther (1992-) (Plant Genetics Ph.D. Student)
Aashima, Chhabra (1991-) (Phd)
Kovács Krisztián (1981-) (okleveles gazdasági agrármérnök)
Internet cím:
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
3.
001-es BibID:
BIBFORM125162
Első szerző:
Qorri, Dejsi (PhD Hallgató)
Cím:
Data-Driven Solution Using Waterfall Model for Farm Data Management in Albania / Qorri Dejsi, Gjermeni Irida, Felföldi János, Tsogtdelger Maral, Mufti Tahir Niyaz, Gashi Njomza, Kovács Krisztián
Dátum:
2024
Megjegyzések:
XX Agricultural Science Days Beyond Tiszántó, (2024)(Debrecen)
Agricultural sector remain the main contributor in the GDP of Albania, offering opportunities for local and regional development. Despite this, the agricultural businesses are not taking advantage of big data generated from their farm activities and processes. As such, the objective of our study was to propose a solution for data management with functions of gathering, analyzing, and visualization that can improve the performance of small-medium farms in Albania. The methodology used in our study was the traditional software engineering waterfall methodology which includes the stages of planning, design, development, testing, and deployment. In addition, this study offers a strategic approach that integrates the data management in farm management, emphasizing the importance of sales and purchase data in monitoring and optimizing farm efficiency and effectiveness with practical approach. The UML (unified modeling language) use case diagram was employed to illustrate the interaction between business process and farm management activities. In addition, the C# programming language and ASP.NET framework along with SQL (structured query language) are used to implement functions above mentioned belonging to the design and development steps in the waterfall model. Furthermore, to achieve an efficient and functional management system we conducted a comprehensive SWOT in-depth analysis using quantitative and qualitative variables related to innovation, education, and labor market, drawing on data from Institute of Statistics of Albania, World Bank, and various Empirical studies. The findings suggest that implementing data-driven solutions can enhance the effectiveness of small-medium size farms in Albania. Additionally, the study identifies the opportunities and challenges associated with implementing data-driven solutions to optimize farm management in Albania.
Tárgyszavak:
Társadalomtudományok
Gazdálkodás- és szervezéstudományok
nem besorolt
egyéb
data-driven solution
farm management
sales and purchases
C# programming
waterfall model
További szerzők:
Irida Gjermeni (1985-) (Lecturer)
Tsogtdelger Maral (2003-) (Chemical engineer student)
Felföldi János (1968-2024) (mérnök-közgazdász)
Mufti Tahir Niyaz (1998-) (Human Resources Management)
Gashi Njomza (2001-) (Food Scientist)
Kovács Krisztián (1981-) (okleveles gazdasági agrármérnök)
Internet cím:
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
4.
001-es BibID:
BIBFORM123490
Első szerző:
Qorri, Dejsi (PhD Hallgató)
Cím:
Indicators of Agricultural Production Efficiency: A Scoping Review / Dejsi Qorri, Krisztián Kovács
Dátum:
2024
Megjegyzések:
In agriculture, technical efficiency refers to a farmer's capacity to produce the output from a given set of inputs such as labor, labor, water, and fertilizers. Furthermore, global food security, population growth, climate change, limited land, water, and energy resources are driving the research on agriculture production and technical efficiency in both developed and developing countries. In total we analyze 478 Scopus index studies by using PRISMA guidelines. Than we applied scoping review to synthesize data and examine significant themes and developing trends using the bibliometrix program. Our study has an exploration approach, and we identify the emerging trends and key themes in agricultural production efficiency. Our investigation concludes that the majority of scholarly work done in crop production efficiency. A vast majority of papers are using data envelopment analysis (DEA) method. Furthermore, we sum up the indicators of the agriculture efficiency to provide a full view of the technological efficiency components / dimensions. Majority of studies have been conducted in Africa and Asia, we suggest more studies to be done in other continents. One explanation of the lack of studies in other regions can be due to the fact that Asia and Africa have the largest population in the world. But the population dynamics in developing and developed world make it a necessity to ensure the agricultural efficiency worldwide. Another explanation can be because developed countries new agricultural policies are more focused on sustainability goal 12 and 13(SDG 12 and SDG 13), which ensures sustainable production patterns and climate change effects. This is further synthesizes and presented as practical implementation and future directions of our study.
Tárgyszavak:
Agrártudományok
Növénytermesztési és kertészeti tudományok
előadáskivonat
könyvrészlet
indicators
sustainability
technical efficiency
agriculture
scoping review
Megjelenés:
The 1st International Conference on Sustainability, Environment and Technology : Programs & Book of Abstracts. - p. 23
További szerzők:
Kovács Krisztián (1981-) (okleveles gazdasági agrármérnök)
Internet cím:
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
5.
001-es BibID:
BIBFORM122724
035-os BibID:
(Scopus)85199652699
Első szerző:
Qorri, Dejsi (PhD Hallgató)
Cím:
The Role of Human Resource Management in Agricultural Labor-Saving Technologies: An Integrative Review and Science Mapping / Dejsi Qorri; Enikő Pergéné Szabó; János Felföldi; Krisztián Kovács
Dátum:
2024
ISSN:
2077-0472
Megjegyzések:
The integrative role of human resource management continues to rise as a topic in sustainable and smart agriculture. This dual focus emphasizes new solutions for agricultural businesses and rural areas, incorporating academic concepts with practical implementations to address the pressing challenges coming from the implementation of labor-saving technologies. The study employs the integrative review method, along with science mapping of literature. After a careful selection of studies from the Scopus database, we included 149 papers for our analysis. Our findings suggest that the overall scholarly work has been concentrated on the topics of entrepreneurship and organizational structure. We conclude that the literature is mostly directed toward sustainability development goals such as gender, diversity, and youth. The current trends topics are "collective action" and "artificial intelligence". Furthermore, our study offered insights into developing and emerging themes, trends, and future directions. The HRM functions that play a pivotal role in the adoption of labor-saving technology adoption are knowledge management, change management, labor allocation, sustainability allocation, and regulatory compliance. Moreover, we provided the practical implementation of the HRM roles and future directions. This study benefits agricultural researchers, agricultural managers, and policymakers because it gives a comprehensive and interdisciplinary perspective.
Tárgyszavak:
Társadalomtudományok
Gazdálkodás- és szervezéstudományok
idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
HRM
technology and organization
labor-saving technologies
adoption
integrative review
agriculture
thematic progress analysis
Megjelenés:
Agriculture-Basel. - 14 : 7 (2024), p. 1-17. -
További szerzők:
Pergéné Szabó Enikő Erzsébet (1975-) (informatikus könyvtáros, közgazdász)
Felföldi János (1968-2024) (mérnök-közgazdász)
Kovács Krisztián (1981-) (okleveles gazdasági agrármérnök)
Internet cím:
Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
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