An optimal scheduling policy for upgraded software with updates

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adarsh Anand ◽  
Subhrata Das ◽  
Mohini Agarwal ◽  
Shinji Inoue
Keyword(s):  
Cost Analysis ◽  
Optimization Model ◽  
Real Life ◽  
Economic Benefits ◽  
Release Time ◽  
Analysis Model ◽  
Content Type ◽  
Software Upgrades ◽  
Stop Time ◽  
Combined Use

PurposeIn the current market scenario, software upgrades and updates have proved to be very handy in improving the reliability of the software in its operational phase. Software upgrades help in reinventing working software through major changes, like functionality addition, feature enhancement, structural changes, etc. In software updates, minor changes are undertaken which help in improving software performance by fixing bugs and security issues in the current version of the software. Through the current proposal, the authors wish to highlight the economic benefits of the combined use of upgrade and update service. A cost analysis model has been proposed for the same.Design/methodology/approachThe article discusses a cost analysis model highlighting the distinction between launch time and time to end the testing process. The number of bugs which have to be catered in each release has been determined which also consists of the count of latent bugs of previous version. Convolution theory has been utilized to incorporate the joint role of tester and user in bug detection into the model. The cost incurred in debugging process was determined. An optimization model was designed which considers the reliability and budget constraints while minimizing the total debugging cost. This optimization was used to determine the release time and testing stop time.FindingsThe proposal is backed by real-life software bug dataset consisting of four releases. The model was able to successfully determine the ideal software release time and the testing stop time. An increased profit is generated by releasing the software earlier and continues testing long after its release.Originality/valueThe work contributes positively to the field by providing an effective optimization model, which was able to determine the economic benefit of the combined use of upgrade and update service. The model can be used by management to determine their timelines and cost that will be incurred depending on their product and available resources.

When things go wrong: the implications for facilitators of work integrated learning placements in international destinations

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deborah Agnew ◽  
Elizabeth Abery ◽  
Sam Schulz ◽  
Shane Pill
Keyword(s):  
Emotional Labor ◽  
Critical Incidents ◽  
Real Life ◽  
Integrated Learning ◽  
Analysis Model ◽  
Content Type ◽  
Work Integrated Learning ◽  
Staff Wellbeing ◽  
The University ◽  
The Impact

PurposeInternational work integrated learning (iWIL) placements for university students are widely promoted within universities. However, they cannot be offered and sustained without a great deal of time and effort; most commonly the responsibility of an assigned university facilitator. Preparation and support are essential for a positive student experience and iWIL outcome. However, not all experiences and outcomes are positive, or predictable.Design/methodology/approachPersonal vignettes of university iWIL facilitators are used to create a collaborative autoethnography (CAE) of experiences and outcomes where placements have been affected by unexpected or unprecedented “critical incidents” and the impact incurred on these academics. The vignettes are analyzed according to the Pitard (2016) six-step structural analysis model.FindingsAnalysis of the vignettes identifies a resulting workload cost, emotional labor and effect on staff wellbeing. Due to the responsibility and expectations of the position, these incidents placed the university iWIL facilitator in a position of vulnerability, stress, added workload and emotional labor that cannot be compared to other academic teaching roles.Practical implicationsIt is intended through the use of “real life” stories presented in the vignettes, to elicit consideration and recognition of the role of the iWIL facilitator when dealing with “the negatives” and “bring to light” management and support strategies needed.Originality/valueResearch is scant on iWIL supervisor experience and management of “critical incidents”, therefore this paper adds to the literature in an area previously overlooked.

Conflict analysis model and application based on intuitionistic fuzzy number

Kybernetes ◽  
2014 ◽  
Vol 43 (7) ◽  
pp. 1040-1052 ◽  
Author(s):  
Yong Liu ◽  
Yi Lin ◽  
Jian Liu
Keyword(s):  
Information System ◽  
Fuzzy Number ◽  
Intuitionistic Fuzzy Set ◽  
Real Life ◽  
Conflict Analysis ◽  
Intuitionistic Fuzzy Number ◽  
Analysis Model ◽  
Content Type ◽  
The Real ◽  
Intuitionistic Fuzzy

Purpose – The purpose of this paper is to establish a novel conflict analysis model so that it can well describe and deal with the real conflict problems. Design/methodology/approach – In order to overcome the shortcomings that the agents have only three attitudes with respect to the conflict issues in Pawlak conflict information system, so that it is too stiff to describe and portray the real conflict problems, the thought and methodology of the intuitionistic fuzzy set is employed to soften the agents’ attitudes of the conflict issues, and then a novel conflict analysis model is constructed. This method, to begin with, the intuitionistic fuzzy number is used to express the opposition and support degree with respect to the conflict issues from agents, and then the similarity measure method is utilized to define conflict coefficient; what is more, the conflict degrees between any two agents can be obtained, and then the alliances are determined by setting different threshold values. Finally, an example illustrates the validity and rationality of the proposed method. Findings – The novel conflict analysis model proposed in the paper can well describe and resolve a real-life conflict problems such as the conflict of national territory, employee and employer. Research limitations/implications – The proposed model can only do with the conflict problems in which there do not exit the correlations among conflict issues, while it does not cope with the conflict problems with the mutually interrelated conflict issues. Originality/value – The paper succeeds in softening the Pawlak conflict analysis information system, and describing and dealing with the actual conflict problems.

Twofold impact of experiential marketing: manufacturer brand and hosting retailer

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shalom Levy ◽  
Hanna Gendel Guterman
Keyword(s):  
Affective Response ◽  
Real Life ◽  
Path Model ◽  
Consumer Attitude ◽  
Cognitive Responses ◽  
Analysis Model ◽  
Experiential Marketing ◽  
Content Type ◽  
Indirect Response ◽  
Shopping Experience

PurposeExperiential marketing is a technique through which companies enhance their promotional marketing with extensive sensory and imagery appeal in order to intensify consumers' experience. The purpose of this current empirical study is to address this strategy and suggests a conceptual framework to explain consumer attitude and behavior toward the promoted brand and the retailer store. Consumers' psychographic characteristics were added to enhance the novelty of the study.Design/methodology/approachAn experiential stimulating environment was created in a real retail store location. The study employs data collected during the experiential demonstration.FindingsThe path model suggests that the intensity of the experience evokes an affective response toward the promoted brand and an indirect response toward the hosting retailer. Psychographic characteristics, such as the tendency to socialize and extrinsic cues, were found to moderate the effect of experiential marketing.Practical implicationsProduct manufacturers and suppliers can use experiential marketing techniques to improve affective and cognitive responses toward their products and brands. Experiential promotion should also be strategically encouraged by retailers because it creates a recreational shopping experience that enhances the retailer's image.Originality/valueThe study is among the few empirical works that examine real-life settings and the double impact of experiential marketing on brand image and the retailer's store image. The study contributes to the existing literature by suggesting a path analysis model toward brand and store images, which combines the effect of experiential marketing with psychographic characteristics.

scholarly journals A model for spectroscopic food sample analysis using data sonification

2021 ◽  
Author(s):  
Hsein Kew
Keyword(s):  
Dimensionality Reduction ◽  
Classification Accuracy ◽  
Reduction Method ◽  
Real Life ◽  
Principal Component ◽  
Relevant Information ◽  
Analysis Model ◽  
Linear Discriminant ◽  
Audio Output ◽  
Dimensionality Reduction Method

AbstractIn this paper, we propose a method to generate an audio output based on spectroscopy data in order to discriminate two classes of data, based on the features of our spectral dataset. To do this, we first perform spectral pre-processing, and then extract features, followed by machine learning, for dimensionality reduction. The features are then mapped to the parameters of a sound synthesiser, as part of the audio processing, so as to generate audio samples in order to compute statistical results and identify important descriptors for the classification of the dataset. To optimise the process, we compare Amplitude Modulation (AM) and Frequency Modulation (FM) synthesis, as applied to two real-life datasets to evaluate the performance of sonification as a method for discriminating data. FM synthesis provides a higher subjective classification accuracy as compared with to AM synthesis. We then further compare the dimensionality reduction method of Principal Component Analysis (PCA) and Linear Discriminant Analysis in order to optimise our sonification algorithm. The results of classification accuracy using FM synthesis as the sound synthesiser and PCA as the dimensionality reduction method yields a mean classification accuracies of 93.81% and 88.57% for the coffee dataset and the fruit puree dataset respectively, and indicate that this spectroscopic analysis model is able to provide relevant information on the spectral data, and most importantly, is able to discriminate accurately between the two spectra and thus provides a complementary tool to supplement current methods.

scholarly journals Characterization of Airborne Bacteria at an Underground Subway Station

2012 ◽  
Vol 78 (6) ◽  
pp. 1917-1929 ◽  
Author(s):  
Marius Dybwad ◽  
Per Einar Granum ◽  
Per Bruheim ◽  
Janet Martha Blatny
Keyword(s):  
Real Life ◽  
Performance Criteria ◽  
Anthropogenic Sources ◽  
Subway Station ◽  
Airborne Bacteria ◽  
Surveillance Systems ◽  
Operational Environment ◽  
Biological Detection ◽  
Content Type ◽  
Subway Stations

ABSTRACTThe reliable detection of airborne biological threat agents depends on several factors, including the performance criteria of the detector and its operational environment. One step in improving the detector's performance is to increase our knowledge of the biological aerosol background in potential operational environments. Subway stations are enclosed public environments, which may be regarded as potential targets for incidents involving biological threat agents. In this study, the airborne bacterial community at a subway station in Norway was characterized (concentration level, diversity, and virulence- and survival-associated properties). In addition, a SASS 3100 high-volume air sampler and a matrix-assisted laser desorption ionization–time of flight mass spectrometry-based isolate screening procedure was used for these studies. The daytime level of airborne bacteria at the station was higher than the nighttime and outdoor levels, and the relative bacterial spore number was higher in outdoor air than at the station. The bacterial content, particle concentration, and size distribution were stable within each environment throughout the study (May to September 2010). The majority of the airborne bacteria belonged to the generaBacillus,Micrococcus, andStaphylococcus, but a total of 37 different genera were identified in the air. These results suggest that anthropogenic sources are major contributors to airborne bacteria at subway stations and that such airborne communities could harbor virulence- and survival-associated properties of potential relevance for biological detection and surveillance, as well as for public health. Our findings also contribute to the development of realistic testing and evaluation schemes for biological detection/surveillance systems by providing information that can be used to mimic real-life operational airborne environments in controlled aerosol test chambers.

Relational governance in outsourcing partnerships

2016 ◽  
Vol 26 (4) ◽  
pp. 435-452 ◽  
Author(s):  
Anuradha Mathrani ◽  
Sanjay Mathrani
Keyword(s):  
Real Life ◽  
Service Level ◽  
Positive Influence ◽  
Control Measures ◽  
Offshore Outsourcing ◽  
Relational Exchange ◽  
Relational Governance ◽  
Content Type ◽  
Governance Practices ◽  
Narrative Storylines

Purpose The paper aims to capture the nuances of two client–supplier relationships to offer new insights on the influences of transactional, knowledge and social elements in outsourcing partnerships. Design/methodology/approach The study has used descriptive case studies with narrative storylines. Interviews were conducted with three relationship managers (boundary gatekeepers) to understand preferred governance practices between clients and suppliers in diverse economic markets. Findings Experiences of three real-life cases engaged in offshore outsourcing have helped to identify the market, operational knowledge and social influences in a relational exchange. Findings reveal that offshore partnerships are first constituted with service-level agreements, which set control measures and layout business expectations from both partners. Boundary gatekeepers bring further accountability across firms by designing social networks for capturing and sharing of knowledge, thereby reducing each partner’s perception of risk. As firms evaluate transactional, knowledge and social elements for building a futuristic relational exchange, more disaggregated and dispersed enterprises evolve as new opportunities are explored in foreign markets. Research limitations/implications The retrospective nature of the client–supplier partnership is a limitation in this research study. However, retrospection adds to experience, and to practice perspectives made in hindsight, and therefore has a positive influence in this study. Originality/value This paper shares real-world experiences that can be used by scholars and practitioners to better understand how relational governance practices operate in a global socio-economic setting.

Scenario based evaluation of a cost risk model through sensitivity analysis

2015 ◽  
Vol 22 (4) ◽  
pp. 403-423 ◽  
Author(s):  
Önder Ökmen ◽  
Ahmet Öztaş
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Risk Model ◽  
Practical Method ◽  
Cost Evaluation ◽  
Sensitivity Analyses ◽  
Analysis Model ◽  
Content Type ◽  
Detailed Evaluation ◽  
Cost Risk

Purpose – Actual costs frequently deviate from the estimated costs in either favorable or adverse direction in construction projects. Conventional cost evaluation methods do not take the uncertainty and correlation effects into account. In this regard, a simulation-based cost risk analysis model, the Correlated Cost Risk Analysis Model, previously has been proposed to evaluate the uncertainty effect on construction costs in case of correlated costs and correlated risk-factors. The purpose of this paper is to introduce the detailed evaluation of the Cost Risk Analysis Model through scenario and sensitivity analyses. Design/methodology/approach – The evaluation process consists of three scenarios with three sensitivity analyses in each and 28 simulations in total. During applications, the model’s important parameter called the mean proportion coefficient is modified and the user-dependent variables like the risk-factor influence degrees are changed to observe the response of the model to these modifications and to examine the indirect, two-sided and qualitative correlation capturing algorithm of the model. Monte Carlo Simulation is also applied on the same data to compare the results. Findings – The findings have shown that the Correlated Cost Risk Analysis Model is capable of capturing the correlation between the costs and between the risk-factors, and operates in accordance with the theoretical expectancies. Originality/value – Correlated Cost Risk Analysis Model can be preferred as a reliable and practical method by the professionals of the construction sector thanks to its detailed evaluation introduced in this paper.

Kenneth Fisher’s heuristics

2016 ◽  
Vol 8 (2) ◽  
pp. 130-148
Author(s):  
Carlo Massironi ◽  
Giusy Chesini
Keyword(s):  
Decision Making ◽  
Conceptual Analysis ◽  
Investment Decision ◽  
Real Life ◽  
Human Action ◽  
Theory Of Knowledge ◽  
Constructivist Theory ◽  
Individual Investors ◽  
Content Type ◽  
Radical Constructivist

Purpose The authors are interested in building descriptive – real life – models of successful investors’ investment reasoning and decision-making. Models designed to be useful for trying to replicate and evolve their reasoning and decision-making. The purpose of this paper, a case study, is to take the substantial material – on innovating the investing tools – published in four books (2006/2012, 2010, 2011, 2015) by a US stock investor named Kenneth Fisher (CEO of Fisher Investments, Woodside, California) and sketch Fisher’s investment innovating reasoning model. Design/methodology/approach To sketch Fisher’s investment innovating reasoning model, the authors used the Radical constructivist theory of knowledge, a framework for analyzing human action and reasoning called Symbolic interactionism and a qualitative analytic technique called Conceptual analysis. The authors have done qualitative research applied to the study of investment decision-making of a single professional investor. Findings In the paper, the authors analyzed and described the heuristics used by Fisher to build subsequent generations of investing tools (called by Fisher “Capital Markets Technology”) to try to make better forecasts to beat the stock market. The authors were interested in studying the evolutive dimensions of the tools to make forecasts of a successful investor: the “how to build it” and “how to evolve it” dimension. Originality/value The paper offers an account of Kenneth Fisher’s framework to reason the innovation of investing tools. The authors believe that this paper could be of interest to professional money managers and to all those who are involved in the study and development of the tools of investing. This work is also an example of the use of the Radical constructivist theory of knowledge, the Symbolic interactionist framework and the Conceptual analysis to build descriptive models of investment reasoning of individual investors, models designed to enable the reproduction/approximation of the conceptual operations of the investor.

A cost-analysis model for anticoagulant treatment in the hospital setting

2014 ◽  
Vol 17 (7) ◽  
pp. 492-498 ◽  
Author(s):  
Samir H. Mody ◽  
Lynn Huynh ◽  
Daisy Y. Zhuo ◽  
Kevin N. Tran ◽  
Patrick Lefebvre ◽  
...  
Keyword(s):  
Cost Analysis ◽  
Hospital Setting ◽  
Anticoagulant Treatment ◽  
Analysis Model

An empirical investigation into intelligent cost analysis in purchasing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Frank Bodendorf ◽  
Manuel Lutz ◽  
Stefan Michelberger ◽  
Joerg Franke
Keyword(s):  
Cost Analysis ◽  
Cost Estimation ◽  
Expert Knowledge ◽  
Added Value ◽  
Cost Calculation ◽  
Content Type ◽  
Intelligent Decision Support Systems ◽  
The One ◽  
Management Recommendations ◽  
Intelligent Decision Support

Purpose Cost transparency is of central importance to reach a consensus between supply chain partners. The purpose of this paper is to contribute to the instrument of cost analysis which supports the link between buyers and suppliers. Design/methodology/approach Based on a detailed literature review in the area of cost analysis and purchasing, intelligent decision support systems for cost estimation are identified. Subsequently, expert interviews are conducted to determine the application possibilities for managers. The application potential is derived from the synthesis of motivation, identified applications and challenges in the industry. Management recommendations are to be derived by bringing together scientific and practical approaches in the industry. Findings On the one hand, the results of this study show that machine learning (ML) is a complex technology that poses many challenges for cost and purchasing managers. On the other hand, ML methods, especially in combination with expert knowledge and other analytical methods, offer immense added value for cost analysis in purchasing. Originality/value Digital transformation allows to facilitate the cost calculation process in purchasing decisions. In this context, the application of ML approaches has gained increased attention. While such approaches can lead to high cost reductions on the side of both suppliers and buyers, an intelligent cost analysis is very demanding.

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