Evaluation and Importance of Business Ethics in Terms of Organizational Culture

2021 ◽  
pp. 248-275
Author(s):  
Zafer Adiguzel
Keyword(s):  
Decision Making ◽  
Business Ethics ◽  
Academic Research ◽  
Organizational Factors ◽  
Scientific Discipline ◽  
Global Market ◽  
Business World ◽  
Unethical Practices ◽  
Norms And Values ◽  
The Impact

Business ethics is a scientific discipline that analyzes and explains norms and values that guide the business world. When the books and academic researches about business ethics are examined, it is understood that interest in business ethics has started to increase. Among the most important reasons for business interest, ethics is the impact of economic development and globalization. The story of the economy and the adaptation to the global market with each passing day has brought unethical practices to the agenda. It is considered that models that improve the decision-making mechanisms of managers against corrupt practices are deemed necessary. In the study, many studies have been cited as references to explain business ethics' individual and organizational factors. It aims to contribute to the literature with the results and results of the academic research conducted on these models.

The Speed of Business Communication, 1883

1964 ◽  
Vol 38 (3) ◽  
pp. 370-375
Keyword(s):  
Nineteenth Century ◽  
Decision Making ◽  
Business Communication ◽  
Reliable Information ◽  
Business Decision ◽  
Business World ◽  
The Impact

The impact of the telegraph upon the nineteenth-century business world was revolutionary in its magnitude. By economically and swiftly separating communications from transportation, telegraphy increased the flow of reliable information and the pace of business decision-making to a degree unapproached by any previous innovation.

scholarly journals Using information systems to strategic decision

2017 ◽  
Vol 11 (2) ◽  
Author(s):  
Leticia de Castro Peixoto ◽  
André Braz Golgher ◽  
Álvaro Bruno Cyrino
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Planning Process ◽  
Global Market ◽  
Strategic Decision ◽  
Theoretical Development ◽  
Strategic Decisions ◽  
Organization Learning ◽  
Organizational Intelligence ◽  
The Impact

The impact of the Decision Support Systems (DSS) on the organizational intelligence and structure and on the strategic decisions was examined in the paper. Nowadays there is an increasing demand for investments on Information Technology (IT) due to the higher complexity of this field in the global market. Nevertheless, measurement of that perception, especially for the Brazilian reality, is little known. This study aims to analyze the relation between the use of DSS by executives of highest organization levels and their perceptions of the quality of information delivered, decision making speed, enhancements in organization learning and strategic management, and differences in involvement with subordinates. The theoretical model proposed by Leidner, Elam and Corrales (1995) and Leidner and Elam (1999), the main theoretical foundation of the paper, was adapted to the Brazilian reality and extended. We conducted a survey with executives of the 1200 biggest companies in Brazil, evaluating the executives’ perceptions. The main results of the paper confirmed past studies and added new dimensions to the benefits provided by the use of information systems, such as the organization learning principles and the strategic planning process. The paper contributes to the theoretical development of information systems and decision-making fields and with organization management, providing knowledge to support the evaluation of the values created by using Information Systems (IS).

scholarly journals Behavioural Accounting Explained through Different Factors

2022 ◽  
Vol 20 (1) ◽  
pp. 67
Author(s):  
BASMA BEN NEFISSA BEN NEFISSA ◽  
Faouzi Jilani Jilani
Keyword(s):  
Decision Making ◽  
Organizational Factors ◽  
Financial Statements ◽  
Decision Makers ◽  
Decision Making Process ◽  
Behavioral Accounting ◽  
Positive Theory ◽  
Diverse Range ◽  
Accounting Reports ◽  
The Impact

<p><em> </em><em>The positive theory of accounting initiated by Watts and Zinmerman in 1978 postulates that the purpose of accounting is to describe, explain and predict accounting facts. The major contribution of this theory is to analyze the effect of accounting output on the main recipients of financial statements. However, in spite of its notable contributions, the positive theory of accounting falls short of studying the context in which the decision-making process by agents takes place s. It has been proved that this context conditions the decision-making process. Numerous studies have therefore been interested in the characteristics of the environment, which include both, organizational factors and individual factors that would condition decisions. It is from this perspective that behavioural accounting, a branch of accounting defined by Hofsted and Kinard (1970) as the analysis of the attitudes of accountants andparticularly non-accountants under the prism of the impact of accounting andparticularly accounting reports, has been developed. Thus, in many fields, both accounting and non-accounting, researchers have felt the need to take a closer look at the behavioural dimension, mainly theemotional and cognitive dimensions of decision-makers, particularly executives, because these dimensions have a significant influence on the decision-making process.</em></p><p><em>In the first part of our article, we will therefore show how the development of behavioral research has taken place in many fields. The aim is to prove that man is not a machine and that man’s specificities, both cognitive and emotional, must be rigorously analyzed to avoid unexpected results .Subsequently, we present a more or less diverse range of work on behavioral accounting . Finally, we prove through a careful and rigorous review of the accounting literature that behavioral accounting offers the opportunity for researchers, particularly practitioners, to be apprehended and thus evaluated through different faculties.</em></p>

Novice's Performance and Satisfaction Improvement Through Expert Decision Support Usage

2004 ◽  
pp. 163-182
Author(s):  
Lucila Perez ◽  
Michel Plaisent ◽  
Prosper Bernard ◽  
Lassana Maguiraga
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Decision Support ◽  
Positive Impact ◽  
Business World ◽  
New Employees ◽  
Training Tool ◽  
Treatment Groups ◽  
The Impact

Decision support technology, Expert Systems, Executives Information Systems, and Artificial Neural Networks, have been reported to be useful tools to enhance the performance of managers as they helped them to gain more knowledge, experiences, and expertise and consequently enhance the quality of the decision-making. They can also be used as a training tool to transfer the knowledge of the expert to middle and top management and thus improve the performance of new employees. This communication reports the conclusions of a study conducted to verify the impact of the use of the EDSS technology (Expert Decision Support Systems) on the performance and satisfaction of new employees in the business world. A laboratory experiment using control groups and treatment groups was held to test the research model. The results indicate that EDSS technologies do have a positive impact on the performance of the users.

The Decision-Making Ecology of Placing a Child into Foster Care

2020 ◽  
pp. 111-135
Author(s):  
J. Christopher Graham ◽  
Alan J. Dettlaff ◽  
Donald J. Baumann ◽  
John D. Fluke
Keyword(s):  
Decision Making ◽  
Low Income ◽  
Organizational Support ◽  
Structural Equation ◽  
Organizational Factors ◽  
Equation Model ◽  
Average Risk ◽  
Mediated Effects ◽  
Out Of Home Care ◽  
The Impact

The Decision-Making Ecology provided a framework for empirically testing the impact of case, caseworker, and organizational factors on the decision to place children in out-of-home care. The structural equation model developed fit the data extremely well, indicating a complex relationship between the variables. The main findings indicate that case factors, even as aggregated to the worker level, were of most importance: Percent removed was increased in part by greater average risk being assessed and more families on a worker’s caseload being low income. Furthermore, removal rates were increased by lower proportions of Hispanic families on the caseload, as well as by lower organizational support and a perception of manageable workload and sufficient resources. Individual factors (i.e., variables characterizing the caseworkers themselves) were not found to directly influence the placement decision, including workers’ own race/ethnicity, although various orders of mediated effects were indicated, and these are detailed. Interrelationships between variables that affect case, caseworker, and organizational factors are discussed along with implications for practice.

scholarly journals Implementation and Evaluation of Nonclinical Interventions for Appropriate Use of Cesarean Section in Low- and Middle-income Countries: Protocol for a Multisite Hybrid Effectiveness-implementation Type III Trial

2020 ◽  
Author(s):  
Alexandre Dumont ◽  
Ana Pilar Betrán ◽  
Charles Kabore ◽  
Myriam De Loenzien ◽  
Pisake Lumbiganon ◽  
...  
Keyword(s):  
Decision Making ◽  
Burkina Faso ◽  
Implementation Strategy ◽  
Organizational Factors ◽  
Multifaceted Intervention ◽  
Appropriate Use ◽  
Middle Income ◽  
Middle Income Countries ◽  
The Impact ◽  
Low And Middle Income

Abstract Background: While cesarean sections (CSs) are a life-saving intervention, an increasing number are performed without medical reasons in low- and middle-income countries (LMICs). Unnecessary CS diverts scarce resources and thereby reduces access to healthcare for women in need. Argentina, Burkina Faso, Thailand and Vietnam are committed to reducing unnecessary CS, but many individual and organizational factors in healthcare facilities obstructthis aim. Nonclinical interventions can overcome these barriers by helping providers improve their practices and supporting women’s decision-making regarding childbirth. Existing evidence has shown only a modest effect of single interventions onreducing CS rates, arguably because of the failure to design multifaceted interventions effectively tailored to the context. The aim of this studyis to design, adapt and test a multifaceted intervention for the appropriate use of CS in Argentina, Burkina Faso, Thailand and Vietnam. Methods: We designed an intervention (QUALIty DECision-making - QUALI-DEC) with four components: (1) opinion leaders at heath care facilities to improve adherence to best practices among clinicians, (2) CS audits and feedback to help providers identify potentially avoidable CS, (3) a decisionanalysistool to helpwomen make an informed decision on the mode of birth, and (4) companionship to support women during labor.QUALI-DEC will be implemented and evaluated in 32 hospitals (8 sites per country) using a pragmatic hybrid effectiveness-implementation design to test our implementation strategy, and information regardingits impact on relevant maternal and perinatal outcomes will be gathered. The implementation strategy will involve the participation of women, healthcare professionals and organizations and account for the local environment, needs, resources and social factors in each country.Discussion:There is urgent need for interventions and implementation strategies to optimize the use of CS while improving health outcomes and satisfaction in LMICs. This can only be achieved by engaging all stakeholders involved in the decision-making process surroundingbirth and addressing their needs and concerns. The study will generate robust evidence about the effectiveness and the impact of this multifaceted intervention. It will also assess the acceptability and scalability of the intervention and the capacity for empowerment among women and providers alike. Trial registration: ISRCTN67214403

Configurations of factors affecting triage decision-making

2018 ◽  
Vol 56 (10) ◽  
pp. 2148-2171 ◽  
Author(s):  
Cristina Ponsiglione ◽  
Adelaide Ippolito ◽  
Simonetta Primario ◽  
Giuseppe Zollo
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Organizational Factors ◽  
Public Hospitals ◽  
Content Type ◽  
Factors Affecting ◽  
Triage Decision ◽  
The Impact

Purpose The purpose of this paper is to explore the configuration of factors affecting the accuracy of triage decision-making. The contribution of the work is twofold: first, it develops a protocol for applying a fuzzy-set qualitative comparative analysis (fsQCA) in the context of triage decision-making, and second, it studies, through two pilot cases, the interplay between individual and organizational factors in determining the emergence of errors in different decisional situations. Design/methodology/approach The methodology adopted in this paper is the qualitative comparative analysis (QCA). The fuzzy-set variant of QCA (fsQCA) is implemented. The data set has been collected during field research carried out in the Emergency Departments (EDs) of two Italian public hospitals. Findings The results of this study show that the interplay between individual and contextual/organizational factors determines the emergence of errors in triage assessment. Furthermore, there are some regularities in the patterns discovered in each of the investigated organizational contexts. These findings suggest that we should avoid isolating individual factors from the context in which nurses make their decisions. Originality/value Previous research on triage has mainly explored the impact of homogeneous groups of factors on the accuracy of the triage process, without considering the complexity of the phenomenon under investigation. This study outlines the need to consider the not-linear relationships among different factors in the study of triage’s decision-making. The definition and implementation of a protocol to apply fsQCA to the triage process in EDs further contributes to the originality of the research.

scholarly journals The Impact of Globalization on the Structural Power Control of Developed States in the 1990s and 2000s

2020 ◽  
pp. 29-37
Author(s):  
Shlomo Waichman
Keyword(s):  
Decision Making ◽  
Labor Market ◽  
Welfare State ◽  
Capital Markets ◽  
Global Market ◽  
Government Control ◽  
Domestic Capital ◽  
The Government ◽  
The Impact ◽  
The Welfare State

Due to its very nature, globalization undermines the government control. This paper focuses on the impact of globalization on developed states. In particular, it analyzes how globalization has affected each of the following four institutions: (i) governance, (ii) capital markets, (iii) welfare state, and (iv) labor market. This can be summarized as follows: governments have become limited in their decision making, domestic capital markets have transformed into branches of the global market and thus have not been able to freely promote domestic interests, the welfare state serves capitalism rather than protects the society and reduces inequality, and the labor market experiences the migration of workers to developed states, whereas industries moved offshore to developing states.

scholarly journals MODELLING OF FINANCIAL RESOURCE ALLOCATION FOR INCREASING THE SUPPLY CHAIN RESILIENCE USING MARKOV CHAINS

2021 ◽  
Vol 8 (2) ◽  
pp. 141-151
Author(s):  
Martin Čech ◽  
Radim Lenort
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Supply Chain ◽  
Markov Chains ◽  
Research Direction ◽  
Global Market ◽  
Supply Chain Resilience ◽  
Managerial Implications ◽  
Overall Performance ◽  
The Impact

The concept of supply chain resilience has arisen in response to changing conditions in the global market environment. Although supply chain resilience building is gaining increasing interest among the professional public and business practice, supporting decision-making in supply chain resilience building is still in its infancy. This article aims to present a mathematical model of the supply chain based on Markov chains to assess the impact of funds allocated to strengthening the supply chain’s resilience to its overall performance and thus support decision-making in the field. Mathematical model assumptions are presented, then a mathematical model of a linear supply chain is developed and generalized, tested and methodological recommendations are presented. To support the use of the model, a set of managerial implications is presented, benefits and limitations are discussed, and further research direction is defined.

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