The application of strategic alignment in a fuzzy environment: a case study in banking

2021 ◽  
Vol 13 (1) ◽  
pp. 70
Author(s):  
Ayfer Basar
Keyword(s):  
Strategic Alignment ◽  
Fuzzy Environment

scholarly journals Evaluating a methodology for assessing the strategic alignment of a mining company recruitment function

2009 ◽  
Vol 7 (1) ◽  
Author(s):  
Adelé Janse van Rensburg ◽  
Gerhard Roodt
Keyword(s):  
Best Practice ◽  
Strategic Alignment ◽  
Research Data ◽  
Focus Group Interviews ◽  
Bottom Line ◽  
Mining Company ◽  
Strategic Objectives ◽  
Emerging Themes ◽  
Group Interviews

In the human capital era, the strategic importance of measurement is unmistakable.  Therefore, the  objective  of  this  study  was  to  qualitatively  evaluate  a  methodology  for  assessing  the strategic alignment of a recruitment function. Persons working in the recruitment best practice community of a mining company were targeted as the case study for this research.  Individual (one-on-one) and focus group interviews were conducted to elicit the research data.  Thematic coding was used to identify the emerging themes from the research data.  The findings indicated that  this methodology can be used effectively  to determine  the alignment of  the  recruitment function with the strategic objectives of the company.  However, the bottom line contribution is still unclear.

scholarly journals An Integrated Fuzzy Model for Selecting Resilient Suppliers in Electronics Industry of Iran

Logistics ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 71
Author(s):  
Hamzeh Aghababayi ◽  
Mohsen Shafiei Shafiei Nikabadi
Keyword(s):  
Real Life ◽  
Fuzzy Model ◽  
Electronics Industry ◽  
Electronic Industry ◽  
Chain Management ◽  
Fuzzy Environment ◽  
Proposed Model ◽  
Delay Times ◽  
Effective Decision

Selecting appropriate and resilient suppliers is an important issue in supply chain management (SCM) literature. Making an effective decision on this issue can decrease external risks and disruptions, purchase costs, and delay times and also guarantees business continuity in the event of disruptions and, consequently, increases company competitiveness and customer satisfaction. This paper aims to provide a model based on identifying and investigating related criteria to evaluate suppliers’ resilience and select the most resilient suppliers in Iran’s electronic industry. To this purpose, the screening technique, the best–worst methodology (BWM), and goal programming (GP) have been applied in the fuzzy environment. The proposed model has been implemented and demonstrated by a case study of the electronic industry, as a real-life example. The results show that agility (0.227), compatibility (0.153), and vulnerability (0.102) are the most important factors for a resilient supplier.

Strategic Alignment through Organizational Modeling: A Case Study in a Public Institution

2011 ◽  
pp. 129-138
Author(s):  
Irapuan Noce ◽  
José Carlos Lourenço Martins ◽  
Fernando Paulo Belfo ◽  
Isabel Ferreira ◽  
Jorge Soares Coelho
Keyword(s):  
Strategic Alignment ◽  
Public Institution

A Study of Business Intelligence Strategy Development by Large Organizations

2019 ◽  
pp. 326-339
Author(s):  
Carmine Carmine Sellitto ◽  
Paul Hawking
Keyword(s):  
Business Intelligence ◽  
Business Strategy ◽  
Strategic Alignment ◽  
Important Predictor ◽  
Strategy Development ◽  
Informational Needs ◽  
Information Presentation ◽  
Case Study Approach ◽  
Study Approach

Organizations have adopted business intelligence solutions with a mixed degree of benefits. Some businesses highlight significant outcomes, while others identify limitations or shortfalls in the benefits derived. Notably, the alignment of business strategy with the adoption of business intelligence processes has been an important predictor of firms being able to achieve organizational wide benefits. The chapter uses a case study approach to document the informational needs achieved through aligning organizational strategy and the adoption of business intelligence solution at two distinct companies. The adoption approaches used by each firm, although different, reflect the important areas in which business intelligence is most useful—strategic alignment, governance, and information presentation.

Strategic Alignment, Planning and Operations in the Supply Chain: A Case Study

2002 ◽  
Author(s):  
Nikhil S. Gurjar ◽  
S. D. Jog
Keyword(s):  
Supply Chain ◽  
Strategic Alignment ◽  
Resource Planning ◽  
Life Cycles ◽  
Supply Chain Design ◽  
Theory Of Constraints ◽  
Forecast Errors ◽  
Present System ◽  
Queuing Model

The present work is a case study conducted on the Indian operations of a leading white goods manufacturer in the world, with a focus on the alignment and planning of the primary movements in the distribution resource planning cycle/manufacturing cycle. The present system at the company is analyzed for the three components viz. supply chain design, supply chain planning and supply chain operations. The characterization of the present system is based on high-implied demand uncertainties, high forecast errors, provisions for mixed order matching, seasonality of demands, end of month peak characterization and the irregular flow of information. The initial analysis is based on a simple queuing model that incorporates the theory of constraints to evaluate the criticality of the information flow in the system. This model is then extended to incorporate other parameters required in the strategic alignment of the system with the corporate objectives. The current initiatives in the company are then developed further into a strategic plan that incorporates considerations of new product launches, decreasing product life cycles, fragmentation of supply chain ownership, globalization and other difficulties in execution.

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

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