Management Control Instruments

2020 ◽  
pp. 111-142
Keyword(s):  
Decision Making ◽  
Information System ◽  
Knowledge Management ◽  
Business Environment ◽  
Management Control ◽  
Activity Based Costing ◽  
Work Processes ◽  
Internal Work ◽  
Management Techniques ◽  
Definition Of

The definition of the dialogue instruments is closely linked to the management of the knowledge that companies want to implement and should contribute to the proper functioning of the management control tools and to the sharing, application, and knowledge creation within the organization. In this chapter, some knowledge management techniques will be presented, which should be defined, taking also into consideration the management control systems to be implemented. In view of the constant changes in the business environment, the company must be market-oriented, and adequate information by segments will be highlighted for decision making. Being important to obtain efficiencies in the realization of internal work processes, the authors also describe some topics of the activity-based costing and activity-based management. As organizations are becoming more complex and decentralized, the information system should also adapt. In this sense, the authors describe organizational types and the adaptation of the management control instruments.

A Framework for Improving Knowledge Management Using Cloud-Based Business Intelligence

2019 ◽  
pp. 322-345
Author(s):  
Wasan Shaker Awad ◽  
Dalal N. Al-Noaimi
Keyword(s):  
Decision Making ◽  
Information System ◽  
Knowledge Management ◽  
Business Intelligence ◽  
Management Information System ◽  
Research Method ◽  
Quantitative Research ◽  
Business Environment ◽  
Decision Makers ◽  
Global Changes

Business environment is becoming more complex which creates a big pressure on organizations to increase the performance and decrease the budget and time. Typical management information system failed to reach decision makers' expectations. In order to adapt to the global changes and support decision makers, organizations may implement different solutions and strategies. One of the solutions is to implement business intelligence (BI) in large organizations. The aim of this chapter is to assess the effectiveness of BI solutions and propose a solution for improving knowledge management using BI and cloud computing. A quantitative research method is used which includes survey and interviews. The results will be analyzed to evaluate the current BI solutions in order to identify the problems of knowledge management and decision-making process. Accordingly, a solution will be proposed to overcome the identified problem using cloud BI.

The Impact of Culture and Context on Knowledge Management

2011 ◽  
pp. 6-11 ◽  
Author(s):  
Murray E. Jennex
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Home Office ◽  
Consensus Definition ◽  
Main Work ◽  
Study Support ◽  
Editorial Review ◽  
Definition Of ◽  
Year 2000 ◽  
The Impact

Jennex (2005) used an expert panel to generate the definition of knowledge management as the practice of selectively applying knowledge from previous experiences of decision-making to current and future decision making activities with the express purpose of improving the organization’s effectiveness. This was a consensus definition from the editorial review board that tells us what we are trying to do with knowledge management. However, knowledge management is being applied in multinational, multicultural organizations and we are seeing issues in effectively implementing knowledge management and transferring knowledge in global and/or multicultural environments. Chan and Chau (2005) discuss a failure of knowledge management that was in part caused by organizational culture differences between the home office (Hong Kong) and the main work location (Shanghai). Jennex (2006) discusses Year 2000, Y2K, knowledge sharing projects that were not as successful as expected due to cultural and context issues. These projects involved organizations that performed the same functions just in different nations, however, problems caused by culture and context were not expected. Other research in review with the International Journal of Knowledge Management explores issues of culture with respect to social capital and implementing knowledge management. None of these are far reaching studies that we can generalize issues from, but they do provide anecdotal and case study support that culture and context are issues we need to address.

Knowledge Management for E-Business Performance

2001 ◽  
pp. 2-15 ◽  
Author(s):  
Yogesh Malhotra
Keyword(s):  
Knowledge Management ◽  
Business Strategy ◽  
Business Performance ◽  
Business Environment ◽  
First Century ◽  
Information Strategy ◽  
Industrial Organizations ◽  
New Perspective ◽  
Definition Of ◽  
Post Industrial

<div>Within the last few years, the topic of knowledge management has gathered a</div><div>lot of interest in the corporate sectors. Although there is no commonly agreed upon</div><div>definition of knowledge management, companies, governments, institutions and</div><div>organizations are demonstrating an increasing interest in the topic. The key argument</div><div>of this chapter is that most current interpretations of knowledge management</div><div>are relevant to the industrial world of business of the past era. Given their origin in</div><div>the ‘old world’ of business, many such interpretations of knowledge management</div><div>may have serious and adverse implications for information strategy of enterprises,</div><div>governments and institutions.</div><div>The discussion surfaces the key assumptions about information strategy and</div><div>how they need to be considered afresh given the changing assumptions about</div><div>business strategy and competitive business environment. Based on this discussion,</div><div>a new perspective of knowledge management is proposed followed by suggestions</div><div>for the managers to effectively deploy it in the ‘new world’ of e-business. For the</div><div>purpose of this article, the focus of discussion is on e-business enterprises as most</div><div>observations are already evident in such organizations. However, most of the</div><div>arguments, observations and conclusions are also relevant to executives interested</div><div>in information strategy and business transformation for other post-industrial organizations</div><div>in the twenty-first century.</div>

scholarly journals Sustainable Smart Healthcare Information Portfolio Strategy Evaluation: An Integrated Activity-Based Costing Decision Model

2020 ◽  
Vol 12 (24) ◽  
pp. 10662
Author(s):  
Chih-Hao Yang ◽  
Hsiu-Li Lee ◽  
Wen-Hsien Tsai ◽  
Sophia Chuang
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Model ◽  
Policy Support ◽  
Healthcare Industry ◽  
Activity Based Costing ◽  
Healthcare Information ◽  
Smart Healthcare ◽  
Portfolio Strategy ◽  
Healthcare Information System

Smart city and smart hospital development comprise a mainstream strategy worldwide to enhance the achievement of Sustainable Development Goals (SDGs) and Corporate Social Responsibility (CSR) practices. The smart healthcare industry needs to optimize its smart healthcare information strategies, creating the process-activity value and reducing the cost of healthcare without sacrificing the quality of patient care. This study proposes an decision model of Activity-Based Costing (ABC) concept and Multi-Criteria Decision-Making (MCDM) techniques that integrates the Decision-Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Processes (ANP), the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Zero-One Goal Programming (ZOGP) to achieve optimal smart healthcare information system portfolio strategy decisions. The resulting data shows that the perspective of government policy support and the criterion of Minimize Equipment Maintenance Costs are the most significant evaluation factors, and that the Health Data Informational System and Hospital Device and Drug Management System comprise by far the optimal portfolio of smart healthcare information system which strengthen the connection between ABC and MCDM techniques in evaluation process. The major contributions of this study are as follows: (1) the proposed model contributes to the management accounting innovation development of a sustainable city and Operation Research (OR) application; (2) the integrated model can promote the smart healthcare industry development and help decision makers to more accurately understand how to allocate resources and planning for intelligent-related activities to each smart healthcare information system through appropriate cost drivers.

scholarly journals DEVELOPMENT OF FOOD SECURITY INFORMATION SYSTEM BASED ON BUSINESS INTELLIGENCE IN FOOD SECURITY AGENCY, MINISTRY OF AGRICULTURE, INDONESIA

2014 ◽  
Vol 8 (2) ◽  
pp. 76
Author(s):  
Manise Hendrawaty ◽  
Harisno Harisno
Keyword(s):  
Decision Making ◽  
Information System ◽  
Food Security ◽  
Real Time ◽  
Balanced Scorecard ◽  
Business Intelligence ◽  
Business Environment ◽  
Security Information ◽  
Real Time Information ◽  
Time Information

Food is the main basic need of human, because of that fulfillment of human need of food has to be fulfilled. So it can fulfill that need, then government institution, Food Security Agency (BKP) is formed so it can monitor fulfillment of food need of society. The goals of this writing are to develop food security information system that provides dashboard facility based on business intelligence, to develop food security information system that can give fast, precise and real time information about food security, to develop decision-making support system for chairman in food security institution. Data is obtained from questionnaires to 51 respondents that are chairmen in Food Security Agency. Data is analyzed with SWOT analysis method for business environment and IT balanced scorecard (IT BSC) for IS/IT environment. The result of analysis of food security information system in Food Security Agency can help chairman in decision-making by presenting information about dashboard that gives fast, precise and real time information. It can be concluded that development of information is successfully done.

scholarly journals Knowledge Management

2011 ◽  
pp. 190-203
Author(s):  
Nilmini Wickramasinghe
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Information Overload ◽  
Communication Technologies ◽  
Business Environment ◽  
Knowledge Generation ◽  
Management Technique ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Data Elements

The proliferation of ICT (information communication technologies) throughout the business environment has lead to exponentially increasing amounts of data and information generation. Although these technologies were implemented to enhance and facilitate superior decision making, the result is information chaos and information overload; the productivity paradox (O’Brien, 2005; Laudon & Laudon, 2004; Jessup & Valacich, 2005; Haag et al. 2004). Knowledge management (KM) is a modern management technique designed to make sense of this information chaos by applying strategies, structures and techniques to apparently unrelated and seemingly irrelevant data elements and information in order to extract germane knowledge to aid superior decision making. Critical to knowledge management is the application of ICT. However it is the configuration of these technologies that is important to support the techniques of knowledge management. This chapter discusses how the process oriented knowledge generation framework of Boyd and the use of sophisticated ICT can enable the design of a networkcentric healthcare perspective that enables effective and efficient healthcare operations.

Rough Set Model in Incomplete Decision Systems

2017 ◽  
Vol 21 (7) ◽  
pp. 1221-1231 ◽  
Author(s):  
Thinh Cao ◽  
Koichi Yamada ◽  
Muneyuki Unehara ◽  
Izumi Suzuki ◽  
Do Van Nguyen ◽  
...  
Keyword(s):  
Decision Making ◽  
Information System ◽  
Missing Data ◽  
Rough Set ◽  
Information Loss ◽  
The Other ◽  
Decision Systems ◽  
Local Decision ◽  
Definition Of ◽  
Quantitative Indicators

The paper introduces a rough set model to analyze an information system in which some conditions and decision data are missing. Many studies have focused on missing condition data, but very few have accounted for missing decision data. Common approaches tend to remove objects with missing decision data because such objects are apparently considered worthless from the perspective of decision-making. However, we indicate that this removal may lead to information loss. Our method retains such objects with missing decision data. We observe that a scenario involving missing decision data is somewhat similar to the situation of semi-supervised learning, because some objects are characterized by complete decision data whereas others are not. This leads us to the idea of estimating potential candidates for the missing data using the available data. These potential candidates are determined by two quantitative indicators: local decision probability and universal decision probability. These potential candidates allow us to define set approximations and the definition of reduct. We also compare the reducts and rules induced from two information systems: one removes objects with missing decision data and the other retains such objects. We highlight that the knowledge induced from the former can be induced from the latter using our approach. Thus, our method offers a more generalized approach to handle missing decision data and prevents information loss.

scholarly journals Quantitative Model for Economic Analyses of Information Security Investment in an Enterprise Information System

Organizacija ◽  
2012 ◽  
Vol 45 (6) ◽  
Author(s):  
Rok Bojanc ◽  
Borka Jerman-Blažič
Keyword(s):  
Decision Making ◽  
Information System ◽  
Quantitative Analysis ◽  
Business Environment ◽  
Quantitative Model ◽  
Security Measures ◽  
Security Technology ◽  
Enterprise Information System ◽  
Security Investment ◽  
Selection Of

AbstractThe paper presents a mathematical model for the optimal security-technology investment evaluation and decision-making processes based on the quantitative analysis of security risks and digital asset assessments in an enterprise. The model makes use of the quantitative analysis of different security measures that counteract individual risks by identifying the information system processes in an enterprise and the potential threats. The model comprises the target security levels for all identified business processes and the probability of a security accident together with the possible loss the enterprise may suffer. The selection of security technology is based on the efficiency of selected security measures. Economic metrics are applied for the efficiency assessment and comparative analysis of different protection technologies. Unlike the existing models for evaluation of the security investment, the proposed model allows direct comparison and quantitative assessment of different security measures. The model allows deep analyses and computations providing quantitative assessments of different options for investments, which translate into recommendations facilitating the selection of the best solution and the decision-making thereof. The model was tested using empirical examples with data from real business environment.

scholarly journals Railway supply chain excellence through the mediator role of business intelligence: Knowledge management approach towards information system

2022 ◽  
Vol 10 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Mailasan Jayakrishnan ◽  
Abdul Karim Mohamad ◽  
Mokhtar Mohd Yusof
Keyword(s):  
Decision Making ◽  
Information System ◽  
Knowledge Management ◽  
Supply Chain ◽  
Decision Support ◽  
Support System ◽  
Business Intelligence ◽  
Decision Making Process ◽  
Supply Chain Performance ◽  
Performance Diagnostics

The features of a holistic view in an organization create the data value of the Business Intelligence (BI) and Knowledge Management (KM) in viewing the big picture of organizational performance diagnostics framework. This research focuses on the specific features of railway supply chain performance in viewing the decision-making process and creating better knowledge formation. The intention of the study is to structure supplier performance using BI-KM framework development to determine holistic perspective factors. The outcomes indicate that BI and KM significantly increased the railway supply chain and significantly increased the information system. This BI-KM framework relates the current analytic characteristics in designing the railway supply chain towards information system in determining the strategic theme of the decision-making process of the decision support system together with system features, characteristics of data, the content of the themes, and the effect of the decision-making process and for executive strategic performance diagnostics tool that provides effective strategic decision making in supply chain performance. The quantitative research method uses SmartPLS software version 3.2.8 for empirical analysis through distributing survey questionnaires to 320 railway suppliers in Malaysia. Using a model-driven development framework, to measure the implementation success of the decision support system, the study is conducted in the railway supplier focusing on strategic management that helps to make the decision and facilitate the organizational success.

scholarly journals Swot Analysis Implemented With Fuzzy Inference to Support Decision Making

2021 ◽  
Vol 9 (9) ◽  
pp. 712-734
Author(s):  
Enyleide Lima ◽  
Manoel Henrique Reis Nascimento ◽  
David Barbosa de Alencar ◽  
Mauro Reis Nascimento ◽  
José Roberto Lira Pinto Júnior ◽  
...  
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Fuzzy Inference ◽  
Evaluation Model ◽  
Business Environment ◽  
Inference System ◽  
Swot Matrix ◽  
The Many ◽  
Definition Of ◽  
Inference Methods

Current market conditions require organizations to understand the business environment in order to achieve strategic planning and decision-making processes. An organization's competitive advantage is associated with an understanding of how to determine the potential of these companies when examining internal and external conditions (insertions) and the effort to meet customer needs. Among the many tools that contribute to this understanding, the SWOT analysis stands out, which can assist organizations to better understand the internal and external environment and formulate strategic plans in a collaborative way. This work aimed to implement an evaluation model for SWOT analysis using fuzzy inference methods. The adopted methodology started from a survey on the internal and external characteristics of the organization, definition of the linguistic criteria of the SWOT matrix, correlation between the variables found and elaboration of the fuzzy inference system for crossing the inputs. The approach proposed by the Fuzzy Inference model for the SWOT matrix proved to be simplified and efficient for a better collection of information that allows the prediction of the future environment, enabling reasoned strategies resulting from the model presented.

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