scholarly journals Developing railway supplier selection excellence using business intelligence knowledge management framework

2021 ◽  
Author(s):  
Mailasan Jayakrishnan ◽  
Abdul Karim Mohamad ◽  
Mokhtar Mohd Yusof
Keyword(s):  
Business Intelligence ◽  
Supplier Selection ◽  
Process Analysis ◽  
Theoretical Framework ◽  
Strategic Decision ◽  
Quality Of Data ◽  
Horizontal Structure ◽  
Strategic Performance ◽  
Business Process Analysis ◽  
Operational Activities

AbstractIn a broad scope, the term Information System (IS) is a scientific field of research study that approaches the scope of managerial, strategic, and operational activities complex in the storing, processing, distributing, gathering, and utilizing of knowledge and its associated technologies in organizations and industry. The model of railway supplier selection using BI-KM framework is situated on a horizontal structure of the organization and its technology transformation to execute the organization goal, with technology as enabler and driver (technology adoption), organization as the principal environment (business process analysis), and Information Management (data modeling). This study is significant in supporting data scenarios by focusing on the heuristic view of an industry approach to problem-solving management issues. Furthermore, the research development was to identify integrated framework adoption that contributes to strategic performance diagnostics dashboard. By understanding the factors of theoretical framework adoption, these conceptual frameworks assure competitive advantage. Besides, this railway supplier selection excellence model analyzed the extent and provides a potential solution to strategic decision-making issues. The study directs to regulate the adoption of the theoretical framework towards conceptual framework by using the role of Business Intelligence (BI) to analyze the quality of data presented as the railway supplier selection criteria from operational management through data analytics. Moreover, this will be united to help the best cycles and instruments in essential execution by the executives of a railway supplier selection dashboard for simulating data as interactive supplier performance.

An Examination of the Nature of Trust in Buyer–Seller Relationships

1997 ◽  
Vol 61 (2) ◽  
pp. 35-51 ◽  
Author(s):  
Patricia M. Doney ◽  
Joseph P. Cannon
Keyword(s):  
Theoretical Model ◽  
Cognitive Processes ◽  
Supplier Selection ◽  
Theoretical Framework ◽  
Purchase Intentions ◽  
Supplier Performance ◽  
Several Variables ◽  
Integrate Theory ◽  
Selection Decision ◽  
The Impact

The authors integrate theory developed in several disciplines to determine five cognitive processes through which industrial buyers can develop trust of a supplier firm and its salesperson. These processes provide a theoretical framework used to identify antecedents of trust. The authors also examine the impact of supplier firm and salesperson trust on a buying firm's current supplier choice and future purchase intentions. The theoretical model is tested on data collected from more than 200 purchasing managers. The authors find that several variables influence the development of supplier firm and salesperson trust. Trust of the supplier firm and trust of the salesperson (operating indirectly through supplier firm trust) influence a buyer's anticipated future interaction with the supplier. However, after controlling for previous experience and supplier performance, neither trust of the selling firm nor its salesperson influence the current supplier selection decision.

scholarly journals Perancangan Data Warehouse Untuk Informasi Strategi Studi Kasus Penerimaan Siswa Baru STIE Binaniaga Bogor

2020 ◽  
Vol 6 (1) ◽  
pp. 111-120
Author(s):  
Rahmat Tri Yunandar ◽  
Amir Amir ◽  
Khairul Rizal
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Strategic Decision ◽  
Educational Institutions ◽  
Decision Making Process ◽  
Process Data ◽  
Strategic Information ◽  
Business Context ◽  
Final Goal ◽  
Operational Activities

As an Educational institutions need to have more knowledge, in evaluating, designing and making decisions. Where from such knowledge can be obtained from the data stored in the operational activities of educational institutions databases into the data warehose, so it can be used as a support in the decision making process. Data Warehouse has a major role in the provision of strategic information that can be used to meet the needs of management in a business context. This study examines the development of the data warehouse to the data of new admissions to the STIE Binaniaga Bogor, which can dig up important information that can help retrieval strategic decision to support promotional activities at the STIE Binaniaga Bogor. The final goal of this study was to produce a design of a data warehouse that can support the needs of management in making decisions by providing strategic information on new admissions, which produces a summary of information that is accurate and useful as input to determine strategies for promotion.

scholarly journals Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL

2018 ◽  
Vol 25 (5) ◽  
pp. 1528-1547 ◽  
Author(s):  
Anil Kumar ◽  
Amit Pal ◽  
Ashwani Vohra ◽  
Sachin Gupta ◽  
Suryakant Manchanda ◽  
...  
Keyword(s):  
Decision Making ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Strategic Decision ◽  
Extensive Literature ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Selection For ◽  
Decision Making Model

Purpose Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry. Design/methodology/approach To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria. Findings The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier. Originality/value The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.

Sign in / Sign up

Export Citation Format

Share Document