17,148 research outputs found

    Spiritual scriptures impact on six ethical models influencing organizational practices

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    Moral issues greet the business community constantly, confronting us with problems on handling accounting rules that can determine a company's future. We are bombarded with news regarding fraudulent activities in companies that mishandled accounting rules leading to undermining the confidence of customers, employees, suppliers, shareholders and the community. Dealing with ethical issues is often perplexing and without the benefits of a decision making model underlined by ethical positions we may be apt to repeat our old ways. Further, value and belief systems are often times absent and not connected to a decision making model in a useful manner. We argue for a modification of decision-making models that has been accepted in companies with stronger links with ethics and morality. With this aim we propose a return to the base values of Buddhism, Christianity, Hinduism, Judaism, and Islam by scriptures, underlying six dominant ethical approaches that drive practices in organizations

    Improving social corporate responsibility : the case of bullying behavior

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    This article highlights moral harassment at the workplace as a form of corruption in organizations. This form of corruption has cost organizations billions of dollars each year. A theoretical model is presented in this paper, which explains the main factors that affect bullying processes impact on organizations. Suggestions are provided in this paper, as tools to eliminate bullying within the workplace

    Face Validation Method Alternatives for Shiphandling Fuzzy Logic Difficulty Model

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    The development of shiphandling difficulty model for ferry is based on the empirical experience through the Master of Ro-Ro ferries. The SHDMF is consisted from two parts which are the Analytic Hierarchy Process (AHP) and Fuzzy Inference System. Both parts had been validated through internal validation in the form of consistency test for the first part and robustness test for the second part. Further, the external/face validation is required to compare the proposed model with similar model through benchmarking approach. The benchmarking approaches are elaborated for the reliability, validity, possibility, efficiency and effectiveness. Through fuzzy group decision making method, the questionnaire survey is performed to verify the most appropriate approach based on the shiphandling simulator as the most preferred benchmarking tool by experts. Next, the proposed scenario is overviewed and discussed especially related to the advantages and drawbacks of shiphandling simulator. Keywords: shiphandling difficulty, fuzzy group decision making, internal validation Model pengukuran kesulitan pengendalian feri didasarkan pada pengalaman empiris melalui pernyataan nahkoda kapal feri Ro-Ro. SHDMF terdiri atas dua bagian, yaitu Analytic Hierarchy Process dan Fuzzy Inference System. Kedua bagian ini telah divalidasi melalui validasi internal dalam bentuk uji konsistensi untuk bagian pertama dan uji kehandalan untuk bagian kedua. Selanjutnya validasi atau wajah eksternal diperlukan untuk membandingkan model yang diusulkan dengan model yang diperoleh dari benchmarking. Pendekatan benchmarking dijabarkan untuk kehandalan, validitas, kemungkinan, efisiensi, dan efektivitas. Melalui metode fuzzy kelompok pembuatan keputusan, survei kuesioner dilakukan untuk memverifikasi pendekatan yang paling tepat dengan simulator pengendalian kapal sebagai alat yang paling disukai oleh para ahli untuk benchmarking. Selanjutnya skenario yang ditinjau-ulang dan dibahas terutama terkait dengan keuntungan dan kelemahan simulator pengendalian kapal. Kata

    Class Action Advice in the Form of Questions

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    Based upon perspectives and concepts from social and historical research on technical systems, this dissertation describes and analyses events and processes relating to the dramatic change in television in Western Europe during the 1980s and early 1990s. In particular, it focuses on how Swedish television, conceived as a large socio-tecnical system, has shifted from a traditional 'public service' system to a more open and mixed system. In addition to traditional public television broadcasting, it has now come to encompass several commercial channels distributed through an expanding combination of technical and market alternatives, including satellite television. The study traces the multiple ways in which socio-historical processes and contingencies have shaped the television system in Sweden. The most detailed historical descriptions and analyses focus on the entrepreneurial activities of the Swedish firm, Industriförvaltning AB Kinnevik, documenting the introduction of the satellite channel TV3 in Sweden and the related expansion of the system. The entrepreneurial actions of Kinnevik in establishing the new satellite channel TV3 are analysed against the background of (1) the characteristics of the traditional Swedish radio and TV broadcasting system, (2) the development of cable television in Sweden, and (3) the broad history of satellite television. Emphasis is placed on how and why it was possible for a new actor to successfully challenge, gain access to, and help transform a well-established system that had remained relatively stable for a long time. This raises attendant questions of timing. How do we account for and explain the relative stability of this system for such a long period? Why did radical change occur at a particular time and not before or after? Whereas the empirical material concerning the activities of Kinnevik in relation to its entrance on the television market covers the period between 1984 and 1991, the study in general addresses developments throughout the twentieth century and, occasionally, even further back in history. The focus is thus on the system as a whole, rather than on only one of its components. A number of conclusions are drawn from the study concerning both the construction of new systems and the reconstruction of established systems. Two major conclusions can be mentioned here. (1) First, the historical material confirms the necessity of collective action in large-scale technology-based entrepreneurial action. (2) Second, the study also shows that there is nothing necessary or inevitable about the development of technologies/technological systems, even though they are subject to a high degree of path-dependence.The electronic version of the printed dissertation is a corrected version where all spelling and grammatical errors are corrected.</p

    The problem of evaluating automated large-scale evidence aggregators

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    In the biomedical context, policy makers face a large amount of potentially discordant evidence from different sources. This prompts the question of how this evidence should be aggregated in the interests of best-informed policy recommendations. The starting point of our discussion is Hunter and Williams’ recent work on an automated aggregation method for medical evidence. Our negative claim is that it is far from clear what the relevant criteria for evaluating an evidence aggregator of this sort are. What is the appropriate balance between explicitly coded algorithms and implicit reasoning involved, for instance, in the packaging of input evidence? In short: What is the optimal degree of ‘automation’? On the positive side: We propose the ability to perform an adequate robustness analysis as the focal criterion, primarily because it directs efforts to what is most important, namely, the structure of the algorithm and the appropriate extent of automation. Moreover, where there are resource constraints on the aggregation process, one must also consider what balance between volume of evidence and accuracy in the treatment of individual evidence best facilitates inference. There is no prerogative to aggregate the total evidence available if this would in fact reduce overall accuracy

    IMPROVING SOCIAL CORPORATE RESPONSIBILITY: THE CASE OF BULLYING BEHAVIOR

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    This article highlights moral harassment at the workplace as a form of corruption in organizations. This form of corruption has cost organizations billions of dollars each year. A theoretical model is presented in this paper, which explains the main factors that affect bullying processes impact on organizations. Suggestions are provided in this paper, as tools to eliminate bullying within the workplace.

    Experimental Assessment of Aggregation Principles in Argumentation-Enabled Collective Intelligence

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    On the Web, there is always a need to aggregate opinions from the crowd (as in posts, social networks, forums, etc.). Different mechanisms have been implemented to capture these opinions such as Like in Facebook, Favorite in Twitter, thumbs-up/-down, flagging, and so on. However, in more contested domains (e.g., Wikipedia, political discussion, and climate change discussion), these mechanisms are not sufficient, since they only deal with each issue independently without considering the relationships between different claims. We can view a set of conflicting arguments as a graph in which the nodes represent arguments and the arcs between these nodes represent the defeat relation. A group of people can then collectively evaluate such graphs. To do this, the group must use a rule to aggregate their individual opinions about the entire argument graph. Here we present the first experimental evaluation of different principles commonly employed by aggregation rules presented in the literature. We use randomized controlled experiments to investigate which principles people consider better at aggregating opinions under different conditions. Our analysis reveals a number of factors, not captured by traditional formal models, that play an important role in determining the efficacy of aggregation. These results help bring formal models of argumentation closer to real-world application

    Partition-dependent framing effects in lab and field prediction markets

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    Many psychology experiments show that individually judged probabilities of the same event can vary depending on the partition of the state space (a framing effect called "partition-dependence"). We show that these biases transfer to competitive prediction markets in which multiple informed traders are provided economic incentives to bet on their beliefs about events. We report results of a short controlled lab study, a longer field experiment (betting on the NBA playoffs and the FIFA World Cup), and naturally-occurring trading in macro-economic derivatives. The combined evidence suggests that partition-dependence can exist and persist in lab and field prediction markets

    Uncertainty and risk: politics and analysis

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    In environmental and sustainable development policy issues, and in infrastructural megaprojects and issues of innovative medical technologies as well, public authorities face emergent complexity, high value diversity, difficult-to-structure problems, high decision stakes, high uncertainty, and thus risk. In practice, it is believed, this often leads to crises, controversies, deadlocks, and policy fiascoes. Decision-makers are said to face a crisis in coping with uncertainty. Both the cognitive structure of uncertainty and the political structure of risk decisions have been studied. So far, these scientific literatures exist side by side, with few apparent efforts at theoretically conceptualizing and empirically testing the links between the two. Therefore, this exploratory and conceptual paper takes up the challenge: How should we conceptualize the cognitive structure of uncertainty? How should we conceptualize the political structure of risk? How can we conceptualize the link(s) between the two? Is there any empirical support for a conceptualization that bridges the analytical and political aspects of risk? What are the implications for guidelines for risk analysis and assessment
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