Most recent issue published online in the International Journal of Procurement Management.
International Journal of Procurement Management
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International Journal of Procurement Management
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http://www.inderscience.com/browse/index.php?journalID=255&year=2024&vol=19&issue=4
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Development of machine learning models for classification of tenders based on UNSPSC standard procurement taxonomy
http://www.inderscience.com/link.php?id=137329
Nigerian public procuring entities are gradually transitioning from manual-based procurement processes to digital-based processes. One of the key processes being automated is the notification of tenders which traditionally has been done through newspapers. Given the growing volume of digital advertisements, it is very imperative to automate the process of classification of tender titles/descriptions into appropriate categories using standard procurement taxonomy such as the United Nations Standard Product and Service Code (UNSPSC). Natural language processing (NLP) methodology was applied to automatically classify tender titles/descriptions into appropriate UNSPSC. Multiple machine learning algorithms were employed to develop the classification models. Given a tender title/description, the models can predict the correct code to apply at the segment, family, class, and commodity levels of the UNSPSC. The algorithms with the best performance under the train-test split validation and <i>K</i>-fold cross-validation methods are support vector machines.
Development of machine learning models for classification of tenders based on UNSPSC standard procurement taxonomy
Bello Abdullahi; Yahaya Makarfi Ibrahim; Ahmed Doko Ibrahim; Kabir Bala; Yusuf Ibrahim; Muhammad Aliyu Yamusa
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 445 - 472
Nigerian public procuring entities are gradually transitioning from manual-based procurement processes to digital-based processes. One of the key processes being automated is the notification of tenders which traditionally has been done through newspapers. Given the growing volume of digital advertisements, it is very imperative to automate the process of classification of tender titles/descriptions into appropriate categories using standard procurement taxonomy such as the United Nations Standard Product and Service Code (UNSPSC). Natural language processing (NLP) methodology was applied to automatically classify tender titles/descriptions into appropriate UNSPSC. Multiple machine learning algorithms were employed to develop the classification models. Given a tender title/description, the models can predict the correct code to apply at the segment, family, class, and commodity levels of the UNSPSC. The algorithms with the best performance under the train-test split validation and <i>K</i>-fold cross-validation methods are support vector machines.]]>
10.1504/IJPM.2024.137329
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 445 - 472
Bello Abdullahi
Yahaya Makarfi Ibrahim
Ahmed Doko Ibrahim
Kabir Bala
Yusuf Ibrahim
Muhammad Aliyu Yamusa
Bae Consulting Engineers, Asokoro, Abuja, Nigeria ' Department of Quantity Surveying, Ahmadu Bello University, Zaria, Nigeria ' Department of Quantity Surveying, Ahmadu Bello University, Zaria, Nigeria ' Department of Building, Ahmadu Bello University, Zaria, Nigeria ' Department of Computer Engineering, Ahmadu Bello University, Zaria, Nigeria ' Department of Quantity Surveying, Ahmadu Bello University, Zaria, Nigeria
e-procurement
e-tendering
big data
machine learning
natural language processing
NLP
2024-03-12T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
19
4
445
472
2024-03-12T23:20:50-05:00
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The sequential logic of quality constructs in sales business relationships: model and findings
http://www.inderscience.com/link.php?id=137325
This research tests the mediator role of satisfaction between commitment and trust, and coordination, cooperation and continuity with B2B buyers, following a seller approach. It considers coordination as present behaviour, and cooperation as the willingness to work jointly, and both are understood as distinct constructs. Based on a survey among Spanish sales managers, it applies confirmatory factor analysis and structural equation modelling using SPSS/AMOS 26.0. Results confirm the mediator role of satisfaction between the constructs in the estimated model. The findings enhance the literature on satisfaction in B2B relationships, thanks to the combination of constructs in the model, which has barely been used in this field, as well as their nomological positions, and the seller perspective. Managerial implications enhance practitioners' comprehension of how commitment and trust induce customer satisfaction which can, in turn, foster coordination and a willingness to cooperate and can improve the expectation of continuity the partnership.
The sequential logic of quality constructs in sales business relationships: model and findings
Carlos Ferro-Soto; Carmen PadÃn; Göran Svensson; Nils M. Høgevold
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 473 - 498
This research tests the mediator role of satisfaction between commitment and trust, and coordination, cooperation and continuity with B2B buyers, following a seller approach. It considers coordination as present behaviour, and cooperation as the willingness to work jointly, and both are understood as distinct constructs. Based on a survey among Spanish sales managers, it applies confirmatory factor analysis and structural equation modelling using SPSS/AMOS 26.0. Results confirm the mediator role of satisfaction between the constructs in the estimated model. The findings enhance the literature on satisfaction in B2B relationships, thanks to the combination of constructs in the model, which has barely been used in this field, as well as their nomological positions, and the seller perspective. Managerial implications enhance practitioners' comprehension of how commitment and trust induce customer satisfaction which can, in turn, foster coordination and a willingness to cooperate and can improve the expectation of continuity the partnership.]]>
10.1504/IJPM.2024.137325
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 473 - 498
Carlos Ferro-Soto
Carmen PadÃn
Göran Svensson
Nils M. Høgevold
University of Vigo, Faculty of Economics and Business, 36310 Vigo †Pontevedra, Spain ' University of Vigo, Faculty of Economics and Business, 36310 Vigo †Pontevedra, Spain ' Kristiania University College, PB 1155 Sentrum, 0107 Oslo, Norway ' Kristiania University College, PB 1155 Sentrum, 0107 Oslo, Norway
satisfaction
trust
commitment
coordination
continuity
cooperation
B2B sales relationships
2024-03-12T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
19
4
473
498
2024-03-12T23:20:50-05:00
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Developing a machine learning integrated e-procurement system for Nigerian public procuring entities
http://www.inderscience.com/link.php?id=137326
Public procuring entities globally have been adopting the digitised approach in order to improve efficiency. However, existing systems have been found to be fragmented and cannot be generalised as they are country-specific. This study, therefore, designed and developed a web-based e-procurement system capturing the entire public procurement lifecycle including a machine learning component. The study adopted the RIPPLE and unified process methodologies of the system development lifecycle and developed one domain conceptual model, covering the entire procurement lifecycle. Then, static analysis conceptual models were developed to capture different processes of the procurement lifecycle. The study designed and developed the system architecture capturing physical architecture and user interface, and machine learning models for automated searching and classification of tender and spends using UNSPSC taxonomy. This study provides a fundamental step toward the automation of e-procurement systems for public procuring entities.
Developing a machine learning integrated e-procurement system for Nigerian public procuring entities
Muhammad Aliyu Yamusa; Yahaya Makarfi Ibrahim; Muhammad Abdullahi; Hassan Adaviriku Ahmadu; Bello Abdullahi; Ahmed Doko Ibrahim; Kabir Bala
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 499 - 524
Public procuring entities globally have been adopting the digitised approach in order to improve efficiency. However, existing systems have been found to be fragmented and cannot be generalised as they are country-specific. This study, therefore, designed and developed a web-based e-procurement system capturing the entire public procurement lifecycle including a machine learning component. The study adopted the RIPPLE and unified process methodologies of the system development lifecycle and developed one domain conceptual model, covering the entire procurement lifecycle. Then, static analysis conceptual models were developed to capture different processes of the procurement lifecycle. The study designed and developed the system architecture capturing physical architecture and user interface, and machine learning models for automated searching and classification of tender and spends using UNSPSC taxonomy. This study provides a fundamental step toward the automation of e-procurement systems for public procuring entities.]]>
10.1504/IJPM.2024.137326
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 499 - 524
Muhammad Aliyu Yamusa
Yahaya Makarfi Ibrahim
Muhammad Abdullahi
Hassan Adaviriku Ahmadu
Bello Abdullahi
Ahmed Doko Ibrahim
Kabir Bala
Department of Quantity Surveying, Ahmadu Bello University, Zaria, Nigeria ' Department of Quantity Surveying, Ahmadu Bello University, Zaria, Nigeria ' Department of Quantity Surveying, Ahmadu Bello University, Zaria, Nigeria ' Department of Quantity Surveying, Ahmadu Bello University, Zaria, Nigeria ' BAE Consulting Engineers, Asokoro, Abuja, Nigeria ' Department of Quantity Surveying, Ahmadu Bello University, Zaria, Nigeria ' Department of Building, Ahmadu Bello University, Zaria, Nigeria
public procurement
web-based e-procurement systems
conceptual model
system architecture
machine learning
UNSPSC taxonomy
2024-03-12T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
19
4
499
524
2024-03-12T23:20:50-05:00
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Exploring corporate governance practices in Indian banks: the moderation effect of banks size
http://www.inderscience.com/link.php?id=137328
The current study explores corporate governance practices in an emerging market. The study is based on 38 Indian banks, covering ten years from 2010 to 2019. Data are retrieved from the Prowess IQ database. The findings reveal a significant difference in corporate governance practices in small, medium, and large banks. Furthermore, board of directors' composition has a significant impact on banks' financial performance. Further, directors' remuneration positively and significantly affects return on assets and total income of Indian banks. Moreover, bank size moderates the association between related party transactions, directors' remuneration, and the financial performance of Indian bank measures, except leverage. This study is unique as it examines the difference in corporate governance structure and related party transactions among small, medium, and large banks. Finally, the study introduces the interaction term to examine the moderation effect of bank size on the association between corporate governance practices and banks' financial performance.
Exploring corporate governance practices in Indian banks: the moderation effect of banks size
Najib H.S. Farhan; Saleem Ahmed Aqlan; Mamdouh Abdulaziz Saleh Al-Faryan
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 525 - 557
The current study explores corporate governance practices in an emerging market. The study is based on 38 Indian banks, covering ten years from 2010 to 2019. Data are retrieved from the Prowess IQ database. The findings reveal a significant difference in corporate governance practices in small, medium, and large banks. Furthermore, board of directors' composition has a significant impact on banks' financial performance. Further, directors' remuneration positively and significantly affects return on assets and total income of Indian banks. Moreover, bank size moderates the association between related party transactions, directors' remuneration, and the financial performance of Indian bank measures, except leverage. This study is unique as it examines the difference in corporate governance structure and related party transactions among small, medium, and large banks. Finally, the study introduces the interaction term to examine the moderation effect of bank size on the association between corporate governance practices and banks' financial performance.]]>
10.1504/IJPM.2024.137328
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 525 - 557
Najib H.S. Farhan
Saleem Ahmed Aqlan
Mamdouh Abdulaziz Saleh Al-Faryan
Faculty of Business Studies, Arab Open University, Saudi Arabia ' Michigan Academy of Postgraduate Studies, Novi, Michigan 48374, USA ' School of Accounting, Economics and Finance, Faculty of Business and Law, University of Portsmouth, UK
corporate governance practices
Indian banking sector
Prowess IQ database
interaction effect
2024-03-12T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
19
4
525
557
2024-03-12T23:20:50-05:00
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Inventory models for deteriorative items with price dependent demand integrated with stock dependent demand
http://www.inderscience.com/link.php?id=137327
Inventory models with integrated price and stock-dependent demands for deteriorative items are considered in this study. The demand models found in the literature include constant, linear, quadratic, exponential, price dependent, and stock dependent among others. To wit, no study exists that uses price dependent integrated with stock dependent demand. Three models are developed: the first model uses price-dependent demand integrated with stock-dependent demands. The second model uses stock-dependent demand which is given in Appendix A and the third model uses price-dependent demand which is given in Appendix B. Mathematical models are delineated for each model and relevant examples are provided to elucidate the proposed procedure. The objective herein is to obtain optimum cycle time with respect to the overall minimum cost. Sensitivity analysis is provided. The necessary data was generated using visual basic 6.0.
Inventory models for deteriorative items with price dependent demand integrated with stock dependent demand
C.K. Sivashankari; T. Nithya
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 558 - 581
Inventory models with integrated price and stock-dependent demands for deteriorative items are considered in this study. The demand models found in the literature include constant, linear, quadratic, exponential, price dependent, and stock dependent among others. To wit, no study exists that uses price dependent integrated with stock dependent demand. Three models are developed: the first model uses price-dependent demand integrated with stock-dependent demands. The second model uses stock-dependent demand which is given in Appendix A and the third model uses price-dependent demand which is given in Appendix B. Mathematical models are delineated for each model and relevant examples are provided to elucidate the proposed procedure. The objective herein is to obtain optimum cycle time with respect to the overall minimum cost. Sensitivity analysis is provided. The necessary data was generated using visual basic 6.0.]]>
10.1504/IJPM.2024.137327
International Journal of Procurement Management, Vol. 19, No. 4 (2024) pp. 558 - 581
C.K. Sivashankari
T. Nithya
R.M.K. Engineering College, Chennai, India ' Saveetha Engineering College, Chennai, India
inventory
integrated demands
stock dependent demand
price dependent demand
optimality
comparative study
2024-03-12T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
19
4
558
581
2024-03-12T23:20:50-05:00