scholarly journals Developing a competitive intelligence strategy framework supporting the competitive intelligence needs of a financial institution’s decision makers

2016 ◽  
Vol 18 (2) ◽  
Author(s):  
Tanya Du Plessis ◽  
Mzoxolo Gulwa
Keyword(s):  
Decision Making ◽  
Financial Services ◽  
Qualitative Data ◽  
Numerical Data ◽  
Decision Makers ◽  
Competitive Intelligence ◽  
Strategy Development ◽  
Planning Tool ◽  
Analysis Techniques

Background: For competitive intelligence (CI) to have the greatest contribution to strategic management, CI professionals require an in-depth understanding of the CI needs of decision makers. CI professionals have to carefully plan how to best inform corporate decision-making.A strategy framework is a planning tool which can be used to explore ways to enhance an organisation’s strategic planning capabilities.Objective: To investigate the CI needs of a financial institution’s decision makers in order to develop a CI strategy framework. To present the strategy framework as a planning tool to CI professionals in the financial services industry as well as mapping the process of developing a planning tool, thereby enabling a financial institution’s CI capability to better meet the CI needs of decision makers.Method: The guiding paradigm of interpretivist research directed the research design of a single qualitative case study, using an inductive approach. Qualitative data analysis techniques were used, which included the use of numerical data, to develop a planning tool for CI professionals based on a thorough understanding of the CI needs of decision makers.Results: Decision makers place considerable value on CI in terms of its contribution to strategy development, decision-making, gaining advantage over competitors and enhancing the financial performance of the organisation. Relationships between concepts and patterns or trends that were identified and utilised to establish themes in the data resulted in a 12-point strategy framework.Conclusion: A financial institution’s CI capability can be enhanced to better meet the CI needs of the organisation’s decision makers when CI professionals carefully plan their approach of informing corporate decision-making. This paper presents a 12-point CI strategy framework as a planning tool for CI professionals.

scholarly journals PENGAMBILAN KEPUTUSAN UNTUK MEMAKAI NARKOBA PADA DEWASA AWAL YANG PERNAH MENEMPUH PENDIDIKAN DI PONDOK PESANTREN

2014 ◽  
Vol 3 (1) ◽  
pp. 13
Author(s):  
Kurrota Aini ◽  
Anna Armeini Rangkuti
Keyword(s):  
Decision Making ◽  
Young Adult ◽  
Qualitative Data ◽  
Qualitative Case Study ◽  
Boarding School ◽  
Influential Factor ◽  
Analysis Techniques ◽  
Study Approach ◽  
Data Validity

This study aims to determine the background factors of decision making to use drugs on young adult ever studied in boarding school.The approach used in this study is a qualitative approach with a qualitative case study approach. Subjects in this study amounted to 2 drug user after graduate from boarding school and from different boarding school, one from traditional boarding school and one from modern boarding school, they are 23 years old. Data collection techniques used were interviews. Data were analyzed using qualitative data analysis techniques and techniques of data validity checks using triangulation. These results indicatethatthere are sixfactors thataffect the subjectinmaking decisionsthatarepreferences, values, beliefs, emotions, and action circumstances. Of the six factors are the most influential factor that circumstances. Environment and the influence of friends is part of circumstances factor that affect both subjects. Keyword: Decision Making, Young Adult, Drugs, Boarding School

Integration between knowledge management and business process management and its impact on the decision making process in the construction sector: a case study of Jordan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sami Wasef Abuezhayeh ◽  
Les Ruddock ◽  
Issa Shehabat
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Decision Makers ◽  
Decision Making Process ◽  
Construction Sector ◽  
Content Type

Purpose The purpose of this paper is to investigate and explain how organizations in the construction sector can enhance their decision-making process (DMP) by practising knowledge management (KM) and business process management (BPM) activities. A conceptual framework is developed that recognises the elements that impact DMP in terms of KM and BPM. The development of this framework goes beyond current empirical work on KM in addition to BPM as it investigates a wider variety of variables that impact DMP. Design/methodology/approach A case study is undertaken in the context of the construction industry in Jordan. A theoretical framework is developed and assessment of the proposed framework was undertaken through a questionnaire survey of decision-makers in the construction sector and expert interviews. Findings The outcomes of this research provide several contributions to aid decision-makers in construction organizations. Growth in the usage of KM and BPM, in addition to the integration between them, can provide employees with task-related knowledge in the organization’s operative business processes, improve process performance, promote core competence and maximise and optimise business performance. Originality/value Through the production of a framework, this study provides a tool to enable improved decision-making. The framework generates a strong operational as well as theoretical approach to the organizational utilization of knowledge and business processes.

scholarly journals ELEMENTS OF SOURCING STRATEGIES IN FM SERVICES - A MULTIPLE CASE STUDY

2006 ◽  
Vol 10 (4) ◽  
pp. 249-267 ◽  
Author(s):  
Tomi Ventovuori
Keyword(s):  
Decision Making ◽  
Geographical Area ◽  
Multiple Case Study ◽  
Integrated Approach ◽  
Strategy Development ◽  
Sourcing Strategies ◽  
Sourcing Strategy ◽  
Starting Point ◽  
Multiple Case

The aim of this paper is to identify the different elements of the sourcing strategy decision‐making process and to clarify what are the factors that lead to the selection of a certain sourcing strategy in FM services. The study is based on a literature review and a multiple case study, which was conducted with four organizations representing different types of FM service clients. To find the optimal sourcing strategy and understand the consequences of different sourcing options, five decision categories must be analysed: sourcing interface, organizational decision‐making, the scope of service package, the geographical area of sourcing and relationship type. There are also some other elements that must be taken into account in the process of sourcing strategy development such as different elements of business in general and the prevailing market conditions. It is strongly suggested that companies could apply the presented integrated approach as a starting point for the development of sourcing strategies in FM services. In addition, this study shows that companies should view the development of sourcing strategies as an important phase of the procurement cycle.

Decision-making of investment in navigation safety improving schemes with application of cumulative prospect theory

2018 ◽  
Vol 232 (6) ◽  
pp. 710-724 ◽  
Author(s):  
Lei Wang ◽  
Qing Liu ◽  
Tongle Yin
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Investment Decision ◽  
Cumulative Prospect Theory ◽  
Decision Makers ◽  
Investment Decision Making ◽  
Risk Appetite ◽  
Safety Investment ◽  
Navigation Safety

Navigation safety improving investment aims at mitigating risk and improving safety of shipping system, while decision-makers’ attitudes toward the uncertainty of shipping safety possess a characteristic of “bounded rationality.” To study the tendency of shipping safety investment decision-making with different risk perception and appetite, a decision-making method based on cumulative prospect theory is proposed in this article. First, we extract the decision attributes through analyzing the factors affecting shipping safety investment. Then, according to cumulative prospect theory, the value function and the probability weighting function for calculating cumulative prospect values of shipping investment attributes are given. Under the risk-based multi-attribute group decision-making framework, linear programming model and projection method are introduced to aggregate the weights of attributes and decision-makers, respectively. Furthermore, through a case study, the proposed methodology is utilized in Three Gorges Dam area, and the desirable safety investment scheme is determined from a set of candidate alternatives. The case study shows not only validity and feasibility of the decision-making approach but also the mechanism of shipping safety investment decision-making with consideration of the behavior characteristics of decision-makers such as reference dependence, risk appetite distortion, and loss aversion.

Drifting the goals archetype: a systemic study

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Virupaxi Bagodi ◽  
Biswajit Mahanty
Keyword(s):  
Decision Making ◽  
Systems Thinking ◽  
Decision Makers ◽  
Content Type ◽  
Area Of Interest ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Current Reality

PurposeManagerial decision-making is an area of interest to both academia and practitioners. Researchers found that managers often fail to manage complex decision-making tasks and system thinkers assert that generic structures known as systems archetypes help them to a great deal in handling such situations. In this paper, it is demonstrated that decision makers resort to lowering of goal (quick-fix) in order to resolve the gap between the goal and current reality in the “drifting the goals” systems archetype.Design/methodology/approachA real-life case study is taken up to highlight the pitfalls of “drifting the goals” systems archetype for a decision situation in the Indian two-wheeler industry. System dynamics modeling is made use of to obtain the results.FindingsThe decision makers fail to realize the pitfall of lowering the goal to resolve the gap between the goal and current reality. It is seen that, irrespective of current less-than-desirable performance, managers adopting corrective actions other than lowering of goals perform better in the long run. Further, it is demonstrated that extending the boundary and experimentation results in designing a better service system and setting benchmarks.Practical implicationsThe best possible way to avoid the pitfall is to hold the vision and not lower the long term goal. The managers must be aware of the pitfalls beforehand.Originality/valueSystems thinking is important in complex decision-making tasks. Managers need to embrace long-term perspective in decision-making. This paper demonstrates the value of systems thinking in terms of a case study on the “drifting the goals” systems archetype.

A Prioritized Decision Making Method for Reliability Allocation: in Optimistic and Pessimistic View

2021 ◽  
pp. 1-13
Author(s):  
Aniruddha Samanta ◽  
Kajla Basu
Keyword(s):  
Decision Making ◽  
System Reliability ◽  
Decision Makers ◽  
Measurement Scale ◽  
Airborne Radar ◽  
View Point ◽  
Reliability Allocation ◽  
Priority Level ◽  
Development Phases

Reliability allocation is a very important problem during early design and development phases of a system. There are several reliability allocation techniques which are used to achieve the target reliability. The feasibility of objectives (FOO) technique is one of them that is widely used to perform system reliability allocation. But this technique has two fundamental shortcomings. The first is the measurement scale and the second is that it does not consider the order weight of the reliability allocation factors. The prioritization of the factors is also an important topic in decision making. Practically, all factors in multi-criteria decision making (MCDM) are not in the same priority level. Hence, in decision making situation, it is usual for decision makers to consider different priority factors. So, considering the prioritization of the factors, a reliability allocation method is proposed here to overcome the shortcomings of the FOO technique. Also, a case study on reliability allocation in airborne radar system is considered here to verify the efficiency of the proposed approach. Finally, the results are calculated in different optimistic and pessimistic view point and compared with the FOO technique. This comparison exhibits the advantages and supremacy of the proposed approach.

Designing a Business Analytics Culture in Organizations in India

2021 ◽  
pp. 670-678
Author(s):  
Tanushri Banerjee ◽  
Arindam Banerjee
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Data Organization ◽  
Business Analytics ◽  
Domain Specific ◽  
Consumer Lending ◽  
Effective Decision ◽  
Effective Decision Making

There are several challenges faced by decision makers while deploying Business Analytics in their organization. There may not be one resolution approach that is suitable for creating a Business Analytics culture in all organizations. However, it is easy to perceive that most India-based organizations may have similar issues of data organization that may be impeding their progression in the field of Analytics. Based on their research, the authors have proposed a framework for adoption of Analytics in Indian firms in their book “Weaving Analytics for Effective Decision Making” by SAGE. They propose to use that model for explaining certain domain specific adoption of Business Analytics in organizations in India. They have used a case study of a Global Bank which is in the process of establishing its consumer lending USA operations, an offshore captive operation, in India to describe the process of building an Analytics team in an organization in India. Data processed using R has been added as screenshots for supporting the findings.

A Decision Support System and Visualisation Tools for AHP-GDM

2021 ◽  
pp. 703-722
Author(s):  
Alberto Turón ◽  
Juan Aguarón ◽  
María Teresa Escobar ◽  
José María Moreno-Jiménez
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Group Decision Making ◽  
Support System ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Consensus Matrix ◽  
Minimum Number

The Precise Consistency Consensus Matrix (PCCM) is a decisional tool for AHP-Group Decision Making (AHP-GDM). Based on the initial pairwise comparison matrices of the individuals, the PCCM constructs a consensus matrix for the group using the concept of consistency. This paper presents a decision support system (PRIOR-PCCM) that facilitates the construction of the PCCM in the context of AHP-GDM, and the calculus of four indicators that allows comparison of the behaviour of group consensus matrices. PRIOR-PCCM incorporates the possibility of considering different weights for the decision makers and includes a module that permits the extension of the initial PCCM which can achieve the minimum number of non-null entries required for deriving priorities or establishing a complete PCCM matrix. It also includes two cardinal indicators for measuring consistency and compatibility and two ordinal indicators for evaluating the number of violations of consistency and priority. The paper introduces some new visualisation tools that improve comprehension of the process followed for obtaining the PCCM matrix and allow the cognitive exploitation of the results. These original contributions are illustrated with a case study.

Integrating OLAP/SOLAP in E-Business Domains

2011 ◽  
Vol 24 (3) ◽  
pp. 45-60
Author(s):  
Ben Ali ◽  
Samar Mouakket
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Analysis ◽  
United Arab Emirates ◽  
Decision Makers ◽  
Job Seekers ◽  
Job Market ◽  
Analysis Techniques ◽  
Analytical Processing ◽  
User Friendly

E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing (OLAP) and Spatial OLAP (SOLAP). Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis (non-spatial and spatial) and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates (UAE). The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE.

Group Decision Model Based on Ordered Weighted Distance to Aid Decisions on Logistics

2018 ◽  
Vol 26 (02) ◽  
pp. 233-254 ◽  
Author(s):  
Jose Leao E Silva Filho ◽  
Danielle Costa Morais
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Decision Model ◽  
Group Decision ◽  
Decision Rules ◽  
Decision Makers ◽  
Weighted Distance ◽  
Model Based ◽  
Decision Making Model

This paper presents a group decision-making model using a distance aggregator based on Ordered Weighted Distance (OWD) which offers a solution that can reduce disagreement between decision makers (DMs). This paper discusses decision rules and sets out measures to evaluate compensatory effects that have a bearing on DMs’ opinions. The model uses formulations of distances to reveal the differences in opinion among DMs and discusses the meanings of distance and the information presented by each DM. Finally, a case study of a logistics problem is used to illustrate how the model is applied.

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