In the context of office work, learning to handle an Enterprise Resource Planning system is important as implementation costs for such systems and associated expectations are high. However, these expectations are often not met because the users are not trained adequately. Electronic Performance Support Systems are designed to support employees’ ERP-related problem-solving and informal learning. EPSS are supposed to enhance employees’ performance and informal workplace learning through task-specific and granular help in task (...) class='Hi'>performance and problem-solving. However, there is little empirical research on EPSS. Two survey studies addressed this research gap. In the first study, 301 people working in Human Resource -related positions and functions evaluated the learning potential of EPSS as well as potential advantages and obstacles concerning the implementation and use of EPSS. Though other measures are currently assessed as more important for learning, HR employees expect a strong increase in the significance of EPSS for employee learning. In the second study, 652 users of ERP software completed a questionnaire on characteristics of their daily work tasks, team characteristics, individual dispositions, their coping with ERP-related problems, and characteristics of EPSS. Findings indicate that the most frequently available and used approach when dealing with an ERP-related problem is consulting colleagues. Three EPSS types can be distinguished by their increasing integration into the user interface and their context-sensitivity. While external and extrinsic EPSS are available to many users, intrinsic EPSS are less common but are used intensively if available. EPSS availability is identified to be a strong positive predictor of frequency of EPSS use, while agreeableness as well as the task complexity and information-processing requirements show small negative effects. Moreover, more intensive ERP users use EPSS more frequently. In general, ERP users value, features such as context-sensitivity, an integration of the EPSS into the ERP system’s user interface, the option to save one’s own notes, and information displayed in an extra window. It is expected that EPSS will play an important role in workplace learning in the future, along with other measures. (shrink)

New production and work practices set new proficiency requirements for employees in operative organisations. Most of these requirements involve information and communication. We can train and educate people to meet with these challenges and design their physical and information environments to support and facilitate them in their work. New information tools play a central role in this development. But what kind of tools? How to apply these tools to enhance employees’ learning by reflection. In this article we will discuss (...) the emergency of shop-floor information environment from the sociotechnical point of view. In addition, the possibilities and limitations of electronic performance support as a solution are evaluated. Shop-floor information artifacts are tools used to produce, organise, store and distribute work related information in a shop-floor environment. They may be very simple like handwritten notes or user interfaces to extremely complex data management systems. (shrink)

In this research work, a user-friendly decision support framework is developed to analyze the behavior of Pakistani students in academics. The purpose of this article is to analyze the performance of the Pakistani students using an intelligent decision support system (DSS) based on the three-level machine learning (ML) technique. The neural network used a three-level classifier approach for the prediction of Pakistani student achievement. A self-recorded dataset of 1,011 respondents of graduate students of English and Physics courses (...) are used. The ten interviews along with ten questions were conducted to determine the perception of the individual student. The chi-squared ( χ ) \left(\chi ) test was applied to test statistical significancy of the questionnaire. The statistical calculations and computation of data were performed by using the statistical package of IBMM SPSS version 21.0. The seven different algorithms were tested to improve the data classification. The Java-based environment was used for the development of numerous prediction classifiers. C4.5 algorithm shows the finest accuracy, whereas Naïve Bayes (NB) algorithm shows the least. The results depict that the classifier’s efficiency was improved by using a three-level proposed scheme from 83.2% to 88.8%. This prediction has shown remarkable results when compared with the individual level classifier technique of ML. This improvement in the accuracy of DSSs is used to identify more efficiently the gray areas in the education stratum of Pakistan. This will pave a path for making policies in the higher education system of Pakistan. The presented framework can be deployed on different platforms under numerous operating systems. (shrink)

The rise of digital and interconnected technology within the workplace, including programs that facilitate monitoring and surveillance of employees is unstoppable. The COVID-19-induced lockdowns and the resulting increase in home office adoption even increased this trend. Apart from major benefits that may come along with such information and communication technologies (e.g., productivity increases, better resource planning, and increased worker safety), they also enable comprehensive Electronic Performance Monitoring (EPM) which may also have negative effects (e.g., increased stress and a (...) reduction in job satisfaction). This conceptual article investigates EPM to better understand the development, adoption, and impact of EPM systems in organizations. The EPM literature published since the 1980s constitutes the basis for this conceptual article. We present a framework which is intended to serve as foundation for future studies. Moreover, we reviewed more than three decades of empirical EPM research and identified six major outcomes that are influenced by the use of an EPM system, as well as a large number of moderator variables. Based on our conceptual analyses and the resulting insights, which also include privacy, ethical, and cultural considerations, we discuss future research opportunities where we also refer to design implications for EPM systems. (shrink)

This paper aims to identify the decision support systems and their role on the strategic management development in the Universities- Case Study: Islamic University of Gaza. The descriptive approach was used where a questionnaire was developed and distributed to a stratified random sample. (230) questionnaires were distributed and (204) were returned with response rate (88.7%). The most important findings of the study: The presence of a statistically significant positive correlation between the decision support systems and strategic (...) management in the Islamic University in Gaza, and this shows that there is a role for decision support systems in strategic management development. The senior management is convinced of the importance of strategic management of the organization, and this conviction paid to clearly understand the process of the development of strategic management and thus led to a commitment to this process to improve its performance. There is an impact on the strategic management of the capabilities available for the use of decision support systems, and the type of decision support systems used, while there is little effect of top management support for the use of decision support systems. Also, the results showed that there were no statistically significant differences between the averages of the respondents answers attributed to personal data. The research also concluded a series of recommendations: The Islamic University of Gaza need to develop its infrastructure of decision support systems when it develops the strategic management. It should increase its interest in organizational potential through the necessity of a separate unit for decision support systems. As well as increased interest in the physical and technical capabilities available to decision support systems through continuity in keeping pace with technological means and techniques, continued support of senior management in the organization of strategic management for its positive role on decision support systems, that senior management will continue in the organization in creating a culture of strategic management, and it should encourage employees to participate in the strategic management process. (shrink)

City councils hold meetings several times a week. There is a need for computer support at certain meetings. This paper examines the potential for group support systems for use in city council meetings and shows in what ways they can be helpful in pre-meeting and post-meeting activities. The study is based on 17 computer-supported city council meetings, carried out in Stuttgart, Kornwestheim and other cities as part of the Cuparla Project between 1996 and 1998. Three of these (...) meetings are described in the paper as brief case studies. Following this, all 17 meeting sequences are evaluated and analysed. Guidelines have been developed from the results of the study for the introduction of group support systems in city council meetings. (shrink)

This article draws on the concept of “performance” to argue for greater recognition of preexisting practices in the configuration of users. Through an Australian case study of a computer-based dairy decision-support system introduced via a two-day workshop to participating farmers, the article examines the assembling of imputed farmer users in the design of the software. It then explores how the designer and trainers attempt, through the decision-support system, to mobilize their network and align the imputed user with (...) farmers' preexisting performances. The case study highlights that attempts to make workable on-farm the “new” performances of users inscribed in the software are highly contingent on farmers' preexisting knowledge practices. These “old” performances problematize the designer's and trainers' version of imputed users and contribute to partial translation of the decision-support system. A focus on performance is argued to provide a useful starting point in mapping the effects of preexisting knowledge practices on attempts to enroll users in technosocial programs. (shrink)

Performance Generating Systems (PGS) are rule- and task-based approaches to improvisation on stage in theatre, dance, and music. These systems require performers to draw on predefined source materials (texts, scores, memories) while working on complex tasks within limiting rules. An interdisciplinary research team at a large Western Canadian university hypothesized that learning to sustain this praxis over the duration of a performance places high demands on executive functions; demands that may improve the performers’ executive abilities. These (...) performers need to continuously shift attention while remaining responsive to embodied and environmental stimuli in the present, they are required to inhibit automated responses and impulses using the rules of the system, and they strive towards addressing multitasking challenges with fluidity and flexibility. This study set out to test the mentioned hypothesis deductively and identify mediating processes inductively, using mixed empirical methods. In a small sample experiment with a control group (28 participants; 15 in intervention group, 13 in control group), standardized quantitative tests of executive functions (D-KEFS) were administered before and after an eight-week intervention. Participant-reported qualitative observations from the praxis were also collected throughout the intervention for grounded analysis. Within the limitations of small sample data, we found both statistically significant and trending effects on inhibition, problem-solving initiation, fluidity, and cognitive flexibility. Examining the mediating process, we found that participants experienced significant challenges sustaining the practice halfway through the intervention. The participant-reported solutions to these challenges, which emerged as the strongest behavioural patterns when coding the qualitative data to saturation, were strategies of problem-solving and of re-directing attention. These strategies support and advance our understanding of the effects measured in the standardized tests. In terms of application, our results identify characteristics of PGS that could potentially maintain and strengthen executive functions over and above less demanding performing arts interventions. The results also deliver new insight into how PGS works, which may contribute to the development and teaching of this artistic practice. (shrink)

Extensive and growing use of electronic performance monitoring in organizations has resulted in considerable debate. Advocates of electronic monitoring approach the debate in teleological terms arguing that monitoring benefits organizations, customers, and society. Its critics approach the issue in deontological terms countering that monitoring is dehumanizing, invades worker privacy, increases stress and worsens health, and decreases work-life quality. In contrast to this win-lose approach, this paper argues that an approach which emphasizes communication in the design and implementation (...) of monitoring systems offers a win-win solution that should satisfy both deontological and teleological ethicists. (shrink)

Robust technology infrastructure is needed to enable learning health care systems to improve quality, access, and cost. Such infrastructure relies on the trust and confidence of individuals to share their health data for healthcare and research. Few studies have addressed consumers’ views on electronic data sharing and fewer still have explored the dual purposes of healthcare and research together. The objective of the study is to explore factors that affect consumers’ willingness to share electronic health information for (...) healthcare and research. This study involved a random-digit dial telephone survey of 800 adult Californians conducted in English and Spanish. Logistic regression was performed using backward selection to test for significant associations of each explanatory variable with the outcome variable. The odds of consent for electronic data sharing for healthcare decreased as Likert scale ratings for EHR impact on privacy worsened, odds ratio = 0.74, 95% CI [0.60, 0.90]; security, OR = 0.80, 95% CI [0.66, 0.98]; and quality, OR = 0.59, 95% CI [0.46–0.75]. The odds of consent for sharing for research was greater for those who think EHR will improve research quality, OR = 11.26, 95% CI [4.13, 30.73]; those who value research benefit over privacy OR = 2.72, 95% CI [1.55, 4.78]; and those who value control over research benefit OR = 0.49, 95% CI [0.26, 0.94]. Consumers’ choices about electronically sharing health information are affected by their attitudes toward EHRs as well as beliefs about research benefit and individual control. Design of person-centered interventions utilizing electronically collected health information, and policies regarding data sharing should address these values of importance to people. Understanding of these perspectives is critical for leveraging health data to support learning health care systems. (shrink)

Contemporary medical diagnostics has a dynamic moral landscape, which includes a variety of agents, factors, and components. A significant part of this landscape is composed of information technologies that play a vital role in doctors’ decision-making. This paper focuses on the so-called Intelligent Decision-Support System that is widely implemented in the domain of contemporary medical diagnosis. The purpose of this article is twofold. First, I will show that the IDSS may be considered a moral agent in the practice of (...) medicine today. To develop this idea I will introduce the approach to artificial agency provided by Luciano Floridi. Simultaneously, I will situate this approach in the context of contemporary discussions regarding the nature of artificial agency. It is argued here that the IDSS possesses a specific sort of agency, includes several agent features (e.g. autonomy, interactivity, adaptability), and hence, performs an autonomous behavior, which may have a substantial moral impact on the patient’s well-being. It follows that, through the technology of artificial neural networks combined with ‘deep learning’ mechanisms, the IDSS tool achieves a specific sort of independence (autonomy) and may possess a certain type of moral agency. Second, I will provide a conceptual framework for the ethical evaluation of the moral impact that the IDSS may have on the doctor’s decision-making and, consequently, on the patient’s wellbeing. This framework is the Object-Oriented Model of Moral Action developed by Luciano Floridi. Although this model appears in many contemporary discussions in the field of information and computer ethics, it has not yet been applied to the medical domain. This paper addresses this gap and seeks to reveal the hidden potentialities of the OOP model for the field of medical diagnosis. (shrink)

Purpose Advances in electronic performance monitoring have raised employees’ concerns regarding the invasion of privacy and erosion of trust. On the other hand, EPM promises to improve performance and processes. This paper aims to focus on how the alignment of EPM design and organizational culture through effective organizational mechanisms can address privacy concerns, and, hence, positively affect employees’ perception toward technology. Design/methodology/approach Based on a theoretical lens extending two conceptual frameworks, a qualitative approach was used to analyze (...) interview data collected from a comparative case study of two organizations in the USA and Qatar within the oil and gas sector. These two contexts were selected to emphasize the cross-cultural and organizational differences in employees’ acceptance of EPM. Findings The study revealed that national and corporate cultures affected employees’ perception and acceptance of monitoring in both countries. Because of diversity, though EPM was better accepted in Qatar, as they are an easy way to enforce standardization and to push employees to adapt to a dominating corporate culture. Conversely, in the USA where culture is more innovation-oriented, organizational mechanisms shifted the perceptions of EPM to being mean to obtain feedback rather than to impose standards. Research limitations/implications This qualitative study is based on a descriptive comparative case study of two organizations with two cultural contexts. The limited sample size and cross-sectional nature of data may need to be extended to a larger cultural scope that is observed over a longer period to safely generalize the findings. Practical implications Decision-makers in multinational corporations with different cultural backgrounds may benefit of this study’s outcomes, as it emphasizes the importance of the fit between EPM designs and the cultural settings. Furthermore, organizations aiming to conduct analytics on EPM data have to justify and prove its benefits to employees to facilitate acceptance. Social implications The study shows that employees in Qatar have a different cultural frame of reference in their perception of fairness and ethics than their counterparts in the USA because of changes in the meaning of social relations, personal goals and behavioral norms. Originality/value The originality of this study lays in its empirical validation of a composite framework examining both national and corporate cultures on employees’ reactions to EPM systems. It also proves the critical importance of organizational mechanisms to align the EPM design with the organization cultural settings. (shrink)

The paper sets out the challenges facing the Police in respect of the detection and prevention of the volume crime of burglary. A discussion of data mining and decision support technologies that have the potential to address these issues is undertaken and illustrated with reference the authors’ work with three Police Services. The focus is upon the use of “soft” forensic evidence which refers to modus operandi and the temporal and geographical features of the crime, rather than “hard” evidence (...) such as DNA or fingerprint evidence. Three objectives underpin this paper. First, given the continuing expansion of forensic computing and its role in the emergent discipline of Crime Science, it is timely to present a review of existing methodologies and research. Second, it is important to extract some practical lessons concerning the application of computer science within this forensic domain. Finally, from the lessons to date, a set of conclusions will be advanced, including the need for multidisciplinary input to guide further developments in the design of such systems. The objectives are achieved by first considering the task performed by the intended systems users. The discussion proceeds by identifying the portions of these tasks for which automation would be both beneficial and feasible. The knowledge discovery from databases process is then described, starting with an examination of the data that police collect and the reasons for storing it. The discussion progresses to the development of crime matching and predictive knowledge which are operationalised in decision support software. The paper concludes by arguing that computer science technologies which can support criminal investigations are wide ranging and include geographical information systems displays, clustering and link analysis algorithms and the more complex use of data mining technology for profiling crimes or offenders and matching and predicting crimes. We also argue that knowledge from disciplines such as forensic psychology, criminology and statistics are essential to the efficient design of operationally valid systems. (shrink)

Australia does not allow adult smokers to buy or use electronic nicotine delivery systems that contain nicotine without a prescription. This paper critically evaluates the empirical and ethical justifications provided for the policy by Federal and State governments, public health advocates and health organisations. These are: that ENDS should only be approved as products for smoking cessation when there is evidence from randomised controlled trials that they are effective; that as a matter of precaution we should not allow (...) the sale of ENDS to smokers as consumer products because we do not know what their long-term effects will be; and that allowing ENDS to be sold as consumer goods will enable the tobacco industry to market ENDS to young people which will also lead to an increase in youth smoking. We show that the arguments and evidence offered in support of all these claims is very weak. We also argue that even if the evidence were stronger, it would not justify denying adult smokers the right to use ENDS either to quit smoking or as a long-term alternative to smoking cigarettes. We outline ENDS policies that would more ethically address the public health concerns that motivated the current policy by allowing adult smokers to access ENDS for smoking cessation or tobacco harm reduction under tight regulations that discourage commercial promotion and adolescent use. (shrink)

Due to increasing empiricalinformation on farm animal welfare since the1960s, the prospects for sound decisionmakingconcerning welfare have improved. This paperdescribes a strategy to develop adecision-making aid, a decision support system,for assessment of farm-animal welfare based onavailable scientific knowledge. Such a decisionsupport system allows many factors to be takeninto account. It is to be developed accordingto the Evolutionary Prototyping Method, inwhich an initial prototype is improved inreiterative updating cycles. This initialprototype has been constructed. It useshierarchical representations to analysescientific statements and (...) statements describingthe housing system. Welfare is assessed fromwhat is known about the biological needs of theanimals, using a welfare model in the form of atree that contains these needs as welfarecomponents. Each state of need is assessedusing welfare relevant attributes of thehousing system and weighting factors.Attributes are measurable properties of thehousing system. Weighting factors are assignedaccording to heuristic rules based on theprinciple of weighting all components(attributes and needs) equally, unless thereare strong reasons to do otherwise. Preliminarytests of the prototype indicate that it may bepossible to perform assessment of farm-animalwelfare in an explicit way and based onempirical findings. The procedure needs to berefined, but its prospects are promising. (shrink)

Research regarding the drivers of acceptance of clinical decision support systems by physicians is still rather limited. The literature that does exist, however, tends to focus on problems regarding the user-friendliness of CDSS. We have performed a thematic analysis of 24 interviews with physicians concerning specific clinical case vignettes, in order to explore their underlying opinions and attitudes regarding the introduction of CDSS in clinical practice, to allow a more in-depth analysis of factors underlying acceptance of CDSS. We (...) identified three general themes from the results. First, ‘the perceived role of the AI’, including items referring to the tasks that may properly be assigned to the CDSS according to the respondents. Second, ‘the perceived role of the physician’, referring to the aspects of clinical practice that were seen as being fundamentally ‘human’ or non-automatable. Third, ‘concerns regarding AI’, including items referring to more general issues that were raised by the respondents regarding the introduction of CDSS in general and/or in clinical medicine in particular. Apart from the overall concerns expressed by the respondents regarding user-friendliness, we will explain how our results indicate that our respondents were primarily occupied by distinguishing between parts of their job that should be automated and aspects that should be kept in human hands. We refer to this distinction as ‘the division of clinical labor.’ This division is not based on knowledge regarding AI or medicine, but rather on which parts of a physician’s job were seen by the respondents as being central to who they are as physicians and as human beings. Often the respondents’ view that certain core parts of their job ought to be shielded from automation was closely linked to claims concerning the uniqueness of medicine as a domain. Finally, although almost all respondents claimed that they highly value their final responsibility, a closer investigation of this concept suggests that their view of ‘final responsibility’ was not that demanding after all. (shrink)

Nowadays, batteries play an important role in a lot of different applications like energy storage, electro-mobility, consumer electronic and so on. All the battery types have a common factor that is their complexity, independently of its nature. Usually, the batteries have an electrochemical nature. Several different test are accomplished to check the batteries performance, and commonly, it is predictable how they work depending of their technology. The present research describes the hybrid intelligent system created to accomplish fault detection (...) over a Lithium Iron Phosphate—LiFePO4 power cell type, commonly used in electro-mobility applications. The approach is based on the cell temperatures behaviour for voltage and current specific values. Taken into account the operating range of a real system based on a LiFePO4 cell, a large set of points of operation have been used to achieve the dataset. The different behaviour zones have been obtained by clustering as a first step. Then, different regression techniques have been used over each cluster. Polynomial regression, artificial neural networks and support vector regression were the combined techniques to develop the hybrid intelligent model proposed. The intelligent system gives very good results over the operating range, detecting all the faults tested during the validation. (shrink)

Decision-makers in governments, enterprises, businesses and agencies or individuals, typically, make decisions according to various regulations, guidelines and policies based on existing records stored in various databases, in particular, relational databases. To assist decision-makers, an expert system, encompasses interactive computer-based systems or subsystems to support the decision-making process. Typically, most expert systems are built on top of transaction systems, databases, and data models and restricted in decision-making to the analysis, processing and presenting data and information, and (...) they do not provide support for the normative layer. This paper will provide a solution to one specific problem that arises from this situation, namely the lack of tool/mechanism to demonstrate how an expert system is well-suited for supporting decision-making activities drawn from existing records and relevant legal requirements aligned existing records stored in various databases.We present a Rule-based reporting systems architecture, which is intended to integrate databases, in particular, relational databases, with a logic-based reasoner and rule engine to assist in decision-making or create reports according to legal norms. We argue that the resulting RuleRS provides an efficient and flexible solution to the problem at hand using defeasible inference. To this end, we have also conducted empirical evaluations of RuleRS performance. (shrink)

Augmentative and alternative communication brain-computer interface systems are intended to offer communication access to people with severe speech and physical impairment without requiring volitional movement. As the field moves toward clinical implementation of AAC-BCI systems, research involving participants with SSPI is essential. Research has demonstrated variability in AAC-BCI system performance across users, and mixed results for comparisons of performance for users with and without disabilities. The aims of this systematic review were to describe study, system, and (...) participant characteristics reported in BCI research, summarize the communication task performance of participants with disabilities using AAC-BCI systems, and explore any differences in performance for participants with and without disabilities. Electronic databases were searched in May, 2018, and March, 2021, identifying 6065 records, of which 73 met inclusion criteria. Non-experimental study designs were common and sample sizes were typically small, with approximately half of studies involving five or fewer participants with disabilities. There was considerable variability in participant characteristics, and in how those characteristics were reported. Over 60% of studies reported an average selection accuracy ≤70% for participants with disabilities in at least one tested condition. However, some studies excluded participants who did not reach a specific system performance criterion, and others did not state whether any participants were excluded based on performance. Twenty-nine studies included participants both with and without disabilities, but few reported statistical analyses comparing performance between the two groups. Results suggest that AAC-BCI systems show promise for supporting communication for people with SSPI, but they remain ineffective for some individuals. The lack of standards in reporting outcome measures makes it difficult to synthesize data across studies. Further research is needed to demonstrate efficacy of AAC-BCI systems for people who experience SSPI of varying etiologies and severity levels, and these individuals should be included in system design and testing. Consensus in terminology and consistent participant, protocol, and performance description will facilitate the exploration of user and system characteristics that positively or negatively affect AAC-BCI use, and support innovations that will make this technology more useful to a broader group of people.Clinical trial registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42018095345, PROSPERO: CRD42018095345. (shrink)

Information is a force multiplier. Knowledge of the enemy's capability and intentions may be of far more value to a military force than additional troops or firepower. Situation assessment is the ongoing process of inferring relevant information about the forces of concern in a military situation. Relevant information can include force types, firepower, location, and past, present and future course of action. Situation assessment involves the incorporation of uncertain evidence from diverse sources. These include photographs, radar scans, and other forms (...) of image intelligence, or IMINT; electronics intelligence, or ELINT, derived from characteristics (e.g., wavelength) of emissions generated by enemy equipment; communications intelligence, or COMINT, derived from the characteristics of messages sent by the enemy; and reports from human informants (HUMINT). These sources must be combined to form a model of the situation. The sheer volume of data, the ubiquity of uncertainty, the number and complexity of hypotheses to consider, the high-stakes environment, the compressed time frame, and deception and damage from hostile forces, combine to present a staggeringly complex problem. Even if one could formulate a decision problem in reasonable time, explicit determination of an optimal decision policy exceeds any reasonable computational resources. While it is tempting to drop any attempt at rational analysis and rely purely on simple heuristics, we argue that this can lead to catastrophic outcomes. We present an architecture for a ``complex decision machine'' that performs rational deliberation to make decisions in real time. We argue that resource limits require such an architecture to be grounded in simple heuristic reactive processes. We thus argue that both simple heuristics and complex decision machines are required for effective decision making in real time for complex problems. We describe an implementation of our architecture applied to the problem of military situation assessment. (shrink)

Arrhythmias are irregular heartbeats that may be life-threatening. Proper monitoring and the right care at the right time are necessary to keep the heart healthy. Monitoring electrocardiogram patterns on continuous monitoring devices is time-consuming. An intense manual inspection by caregivers is not an option. In addition, such an inspection could result in errors and inter-variability. This article proposes an automated ECG beat classification method based on deep neural networks to aid in the detection of cardiac arrhythmias. The data collected by (...) an Internet of Things enabled ECG monitoring device are transferred to a server. They are analysed by a deep learning model, and the results are shared with the primary caregiver. The proposed model is trained using the MIT-BIH ECG arrhythmia database to classify into four classes: normal beat, left bundle branch block beat, right bundle branch block beat, and premature ventricular contraction. The received data are sampled with an overlapping sliding window and divided into an 80:20 ratio for training and testing, with tenfold cross-validation. The proposed method achieves higher accuracy with a simple model without any preprocessing when compared with previous works. For the train and test sets, we achieved accuracy rates of 99.09 and 99.03%, respectively. A precision, recall, and F1 scores of 0.99 is obtained. The proposed model achieves its goal of developing a simple and accurate ECG monitoring system with improved performance. This simple and efficient deep learning approach for heartbeat classification could be applied in real-time telehealth monitoring systems. (shrink)

In this article, the concept of mobility is examined theoretically, from a phenomenological perspective, as well as empirically, through two design case studies. First, a background to how the notion of mobility is generally conceptualized and used in academia as well as within industry is provided. From a phenomenological analysis, it becomes necessary to question the currently dominating understanding of mobility as first and foremost a provider of freedom from a number of constraints. Rather, it is argued, mobility needs to (...) be understood primarily as quite the opposite; as being about getting involved in different contexts. Based on this analysis, it is described how such an altered way of understanding mobility has come to challenge our design team’s preconceptions of mobile interaction design and influence the design of two mobile support system for service and maintenance in industrial settings. (shrink)

In dynamic system control, cognitive mechanisms and abilities underlying performance may vary depending on the nature of the task. We therefore investigated the effects of system structure and its interaction with cognitive abilities on system control performance. A sample of 127 university students completed a series of different system control tasks that were manipulated in terms of system size and recurrent feedback, either with or without a cognitive load manipulation. Cognitive abilities assessed included reasoning ability, working memory capacity, (...) and cognitive reflection. System size and recurrent feedback affected overall performance as expected. Overall, the results support that cognitive ability is a good predictor of performance in dynamic system control tasks but predictiveness is reduced when the system structure contains recurrent feedback. We discuss this finding from a cognitive processing perspective as well as its implications for individual differences research in dynamic systems. (shrink)

The COVID-19 pandemic resulted in the abrupt closure of circus schools, venues, and companies, introducing a myriad of novel stressors. Performers and students must now attempt to maintain their technical, physical, artistic, creative, and cognitive abilities without in-person support from their coaches and must manage the isolation from their training and performing spaces. For circus artists, the transposition of the work space to a home environment is not possible, which creates novel stressors that could lead to the exacerbation and (...) escalation of mental health issues. The purpose of this study is to develop, implement and evaluate a holistic interventional program based on the socio-ecological model of resilience and operationalized through physical literacy. This will be a prospective longitudinal study with a retrospective comparison to data from a similar student cohort pre-pandemic. Interventions were designed using a population-specific, participant-based developmental model within a knowledge translation framework. The interventional program includes group webinars, small group information sessions, and one-on-one Zoom meetings, in addition to the distribution of electronic educational materials. The interventions will holistically provide psychological, physical, social, technical, artistic, and creative supports. Resources will be deployed throughout the closure period and through recovery, as transitions to return to training after prolonged hiatus will magnify known psychological and physical difficulties. Repeated, longitudinal assessment of students will be utilized to track changes over time at key transitions in the pandemic and school year and will be compared to a pre-pandemic school year. The framework for this program will be translatable to other performing arts and high-performance contexts. The program has implications for the mental health and overall wellbeing of artists and for cultural and economic recovery of the industry. (shrink)

When information is transformed from what has traditionally been a paper-based format into digitized elements with meaning associated to them, new and intriguing discussions begin surrounding proper and improper uses of this codified and easily transmittable information. As these discussions continue, some health care providers, insurers, laboratories, pharmacies, and other healthcare stakeholders are creating and retroactively digitizing our medical information with the unambiguous endorsement of the federal government.Some argue that these enormous databases of medical information offer improved access to timely (...) information, evidence-based treatments, and complete records from which to provide care. To the extent that these claims are true, it would seem that this is a valuable asset that offers immeasurable benefit to all. Others believe this digitization to be an egregious invasion of privacy. In this article, I investigate the broad research questions of whether the public good aspect of capturing private health information outweighs individual interests and whether it is ethical to mandate participation in health information exchanges by all individuals who use the U.S. health system. (shrink)

Cancer-related electronic support groups (ESGs) may be regarded as a complement to face-to-face groups when the latter are available, and as an alternative when they are not. Advantages over face-to-face groups include an absence of barriers imposed by geographic location, opportunities for anonymity that permit sensitive issues to be discussed, and opportunities to find peers online. ESGs can be especially valuable as navigation aids for those trying to find a way through the healthcare system and as a guide (...) to the cancer journey. Outcome indicators that could be used to evaluate the quality of ESGs as navigation aids need to be developed and tested. Conceptual models for the navigator role, such as the Facilitating Navigator Model, are appropriate for ESGs designed specifically for research purposes. A Shared or Tacit Model may be more appropriate for unmoderated ESGs. Both conceptual models raise issues in Internet research ethics that need to be address. (shrink)

This paper aims to assess selected municipalities’ performance of citizen-centric investment planning, governance and transparency, financial management, and support for youth programming in Kosovo. In completing this assessment, the Municipal Performance Management System of the Ministry of Local Government Administration in Kosovo was utilized. Selected municipalities are based on the Municipal Performance Report of 2019. Eight from Albanian majority municipalities in the top ranking, and two municipalities with higher scores from minority municipalities. The paper aims to (...) highlight three critical local government issues in ten selected municipalities: 1) The way of governing municipalities assessed according to the applicable legislation and 2) The provision of services in terms of quantity and quality, when possible and 3) Youth-oriented capacity building for municipal staff for better youth services. The paper will produce findings on capacity building needs and support needed on youth and citizen-centric investment and capacity building needs. A non-exhaustive list of needed capacities is produced, while the findings from the evaluation will be used to develop a capacity-building manual for municipal staff on youth-oriented municipal services. (shrink)

Numerous countries are heading toward digital infrastructures. In particular this new technology promises to help support methods for elections. However, one should be careful that such an infrastructure does not hinder the voting and representation issues. On the contrary, it should support those issues and help citizens have a clearer picture of the underlying mechanisms. This paper deals with the limits of voting procedures as they are described in classical collective choice theory and reflects on ways to aggregate (...) electronic votes stemming from various individuals that would be at the same time democratic, decisive and rational which is not feasible when candidate rankings alone are taken into account. This paper shows how electronic voting procedures could improve the situation by introducing preference-based votes. (shrink)

The development of electronic agents that increasingly play an active role in the contract formation and execution process has highlighted the need for the creation of law-abiding autonomous agent systems. The principle of good faith is an important guideline for contractual behaviour which permeates civil law systems. This paper examines how this principle is applied both during the negotiation of a contract and during its performance. Selected examples from civil law literature of precontractual duties of good (...) faith, and of precontractual behaviour that is deemed to be contrary to good faith, are discussed. This is followed by a discussion of the extent to which such duties are recognised, or such behaviour proscribed, in common law jurisdictions. Some common standards for precontractual behaviour in civil and common law systems are identified. There is then a parallel analysis of the principle of good faith in contract performance with a view to identifying common traits or standards between civil and common law systems. These standards, in the situation where contracts are being negotiated and/or performed by or through electronic agents, would need to be reflected in the way such agents operate. (shrink)

Against the backdrop of an increasing importance of the purchasing function in manufacturing companies, this paper introduces the notion of a "green multiplier effect" and suggests that purchasing could become an important agent for change regarding environmental initiatives in the supply chain. The literature offers some support for this concept. However, a study into purchasing in Scottish manufacturing companies produces a less optimistic picture, as environmental initiatives involving the supply chain are rare. Where they occur, they are mostly undertaken (...) in a passive fashion, with the main motivation being compliance with legislation. Above-average environmental initiatives are reported from three industries: paper making, chemicals and electronics. Explanations of the discrepancy between anticipated and actual results point to the reactive nature of purchasing and to performance measurement systems that focus on economic criteria. (shrink)

The vehicle suspension system is represented by a complex group of components which connect the wheels to the frame or body. Its primary function is to reduce or absorb various vehicle vibrations generated by road disturbances, providing comfort and safety for passengers. Most modern vehicles have independent, active, or semiactive front and rear suspensions which allow the use of electronic actuation. For this reason, automotive engineers conduct research on the active suspension model to determine the most suitable control algorithm. (...) Three active suspension models are intensely used within simulations: the quarter-car, the half-car, and the full-car models. This paper proposes an adaptive harmonic control for a half-car active suspension system. The mathematical model of the suspension system is implemented in the MATLAB/Simulink environment. The control approach is tested via simulation, and several comparisons with the classical proportional-integral controller are provided. The simulation results show that the controller behaves quite similarly on the half-car model as it did on a quarter-car model. Additionally, an improvement to the harmonic control algorithm has been accomplished. (shrink)

PURPOSE—A substantial fraction of the observations made by clinicians and entered into patient records are expressed by means of negation or by using terms which contain negative qualifiers (as in “absence of pulse” or “surgical procedure not performed”). This seems at first sight to present problems for ontologies, terminologies and data repositories that adhere to a realist view and thus reject any reference to putative non-existing entities. Basic Formal Ontology (BFO) and Referent Tracking (RT) are examples of such paradigms. The (...) purpose of the research here described was to test a proposal to capture negative findings in electronic health record systems based on BFO and RT. METHODS—We analysed a series of negative findings encountered in 748 sentences taken from 41 patient charts. We classified the phenomena described in terms of the various top-level categories and relations defined in BFO, taking into account the role of negation in the corresponding descriptions. We also studied terms from SNOMED-CT containing one or other form of negation. We then explored ways to represent the described phenomena by means of the types of representational units available to realist ontologies such as BFO. RESULTS—We introduced a new family of ‘lacks’ relations into the OBO Relation Ontology. The relation lacks_part, for example, defined in terms of the positive relation part_of, holds between a particular p and a universal U when p has no instance of U as part. Since p and U both exist, assertions involving ‘lacks_part’ and its cognates meet the requirements of positivity. CONCLUSION—By expanding the OBO Relation Ontology, we were able to accommodate nearly all occurrences of negative findings in the sample studied. (shrink)

Students often face difficulties and experience negative emotions toward second language learning. The affective tutoring system is a next-generation learning approach that can detect the affective status of learning to increase performance. Therefore, for the purposes of this study, an innovative affective mobile language tutoring system was designed to support Japanese language learning. The effects of AMLTS, along with asynchronous discussion, that were intended to improve performance, were examined using a triangulation method. To investigate the effect on (...) emotion, the proposed AMLTS provides a virtual emotion agent that can interact with users and record emotional events, learning assessments, and the results of the interaction into a database. Learning effectiveness evaluations were conducted via two experiments: prototype evaluation and final evaluation. Sixty-three students, all beginners, were invited to use the AMLTS to learn Japanese. The research results show that the proposed AMLTS affective interaction design significantly improves learner engagement and performance. In the emotion feedback analysis and learning process, AMLTS helped students deepen their understanding of the content, enabled them to clearly understand the content, and to engage in peer interaction and experience positive emotions. In the evaluation of system usability, AMLTS reveals good usability for foreign language acquisition. (shrink)

Strategies based on performance measurement and feedback are commonly used to support quality improvement among nurses. These strategies require practice change, which, for nurses, rely to a large extent on their capacity to coordinate with each other effectively. However, the levers for coordinated action are difficult to mobilize. This discussion paper offers a theoretical reflection on the challenges related to coordinating nurses' actions in the context of practice changes initiated by performance measurement and feedback strategies. We explore (...) how Jürgen Habermas' theory of Communicative Action may shed light on the issues underlying nurses' collective actions and self‐determination in practice change and the implications for the design of strategies based on performance measurement and feedback. Based on this theory, we propose differences between communicative and functional coordination according to the nature of the actions and the purposes involved. The domains of action underlying these coordination processes, which Habermas referred to as the lifeworld and the system, are then used to draw a parallel with aspects of nursing practice. Further exploration of these concepts allows us to consider the tensions between the demands of the system and the self‐determination of nurses within their practice. (shrink)

For decades, health information has been collected and shared for health care delivery and public health purposes. While the “primary use” of patient data for providing direct health care services is the cornerstone of health care practice, health departments rely on data sharing for research and analysis to support disease prevention and health promotion in the population. As the U.S. health system undergoes a digital revolution, health information that was previously captured in paper form now can be captured electronically. (...) Electronic health information has transformed the efficiency, capacity, and functions of the U.S. health system. For this reason, there is increased attention to the “secondary use” of electronic patient data for public health uses, including disease reporting and investigation, syndromic surveillance, and patient-specific or population-level communications about health conditions and their associated risk factors. Secondary uses may also encompass clinical research, licensure, and payment for services. (shrink)

Within quantum chemistry, the electron clouds that surround nuclei in atoms and molecules are sometimes treated as clouds of probability and sometimes as clouds of charge. These two roles, tracing back to Schrödinger and Born, are in tension with one another but are not incompatible. Schrödinger’s idea that the nucleus of an atom is surrounded by a spread-out electron charge density is supported by a variety of evidence from quantum chemistry, including two methods that are used to determine atomic and (...) molecular structure: the Hartree-Fock method and density functional theory. Taking this evidence as a clue to the foundations of quantum physics, Schrödinger’s electron charge density can be incorporated into many different interpretations of quantum mechanics. (shrink)

Electronic Health Records (EHRs) are organized around two kinds of statements: those reporting observations made, and those reporting acts performed. In neither case does the record involve any direct reference to what such statements are actually about. They record not: what is happening on the side of the patient, but rather: what is said about what is happening. While the need for a unique patient identifier is generally recognized, we argue that we should now move to an EHR regime (...) in which all clinically salient particulars – from the concrete disorder on the side of the patient and the body parts in which it occurs to the concrete treatments given – should be uniquely identified. This will allow us to achieve interoperability among different systems of records at the level where it really matters: in regard to what is happening in the real world. It will also allow us to keep track of particular disorders and of the effects of particular treatments in a precise and unambiguous way. We discuss the ontological and epistemological aspects of our claim and describe a scenario for implementation within EHR systems. (shrink)

Neoliberal precepts of the governance of academic science-deregulation; reification of markets; emphasis on competitive allocation processes have been conflated with those of performance management—if you cannot measure it, you cannot manage it—into a single analytical and consequent single programmatic worldview. As applied to the United States’ system of research universities, this conflation leads to two major divergences from relationships hypothesized in the governance of science literature. (1) The governance and financial structures supporting academic science in the United States’ system (...) of higher education are sufficiently different from those found in many other OECD countries where these policies have been adopted to produce political pressures for an increase rather than a decrease in governmental control over university affairs. (2) The major impact upon academic science of performance measurement systems has come not externally from new government requirements but internally from the independent adoption of these techniques by universities, initially in the name of rational management and increasingly as devices to foster reputational enhancement. The overall thrust of the two trends in the U.S. has been less a shift as experienced elsewhere from bureaucratic to market modes of governance than the displacement of professional-collegial control by internal bureaucratic control. (shrink)

Without trust there is no credible human health research (HHR). This article accepts this truism and addresses a crucial question that arises: how can trust continually be promoted in an ever-changing and uncertain HHR environment? The article analyses long-standing mechanisms that are designed to elicit trust—such as consent, anonymization, and transparency—and argues that these are best understood as trust represented by proxies of trustworthiness, i.e., regulatory attempts to convey the trustworthiness of the HHR system and/or its actors. Often, such proxies (...) are assumed to operate as markers that trust exists or, at least, has not been lost. But, since trust can neither be “built” nor “secured,” this is a precarious assumption. Worryingly, there is no existing theoretical account of how to understand and evaluate these proxies of trustworthiness as part of a trusted HHR ecosystem. To remedy this, the paper argues for a radical reimagining of trust and trustworthiness as performative acts that ought to be understood in relation to each other and by reference to the common values at stake. It is shown that proxies of trustworthiness are the operational tools used to perform trustworthiness. It advocates for a values-based approach to understanding the relationship between trust and trustworthiness. This establishes a strong basis for an evaluative framework for proxies of trustworthiness, i.e., to determine how to perform trustworthiness well. Five common proxies in HHR are scrutinized from a values perspective. The contribution is to provide a far-reaching normative and practical framework by which existing and future proxies of trustworthiness can be identified, assessed, maintained, or replaced in rapidly changing HHR regulatory ecosystems where trust itself is crucial to the success of the entire HHR enterprise. (shrink)

In their article ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI’, Durán and Jongsma discuss the epistemic and ethical challenges raised by black box algorithms in medical practice. The opacity of black box algorithms is an obstacle to the trustworthiness of their outcomes. Moreover, the use of opaque algorithms is not normatively justified in medical practice. The authors introduce a formalism, called computational reliabilism, which allows generating justified beliefs on the (...) algorithm reliability and trustworthy outcomes of artificial intelligence systems by means of epistemic warrants, called reliability indicators. However, they remark the need for reliability indicators specific to black box algorithms and that justified knowledge is not sufficient to justify normatively the actions of the physicians using medical AI systems. Therefore, Durán and Jongsma advocate for a more transparent design and implementation of black box algorithms, providing a series of recommendations to mitigate the epistemic and ethical challenges behind their use in medical practice. In this response, I argue that a peculiar form of black box algorithm transparency, called design publicity, may efficiently implement these recommendations. Design publicity encodes epistemic, that is, reliability indicators, and ethical recommendations for black box algorithms by means of four subtypes of transparency. These target the values and goals, their translation into design requirements, the performance and consistency of the algorithm altogether. I discuss design publicity applying it to a use case focused on the automated classification of skin lesions from medical images. (shrink)

Increasing adoption of electronic health records in hospitals provides new opportunities for patient data to support public health advances. Such learning healthcare models have generated ethical debate in high-income countries, including on the role of patient and public consent and engagement. Increasing use of electronic health records in low-middle income countries offers important potential to fast-track healthcare improvements in these settings, where a disproportionate burden of global morbidity occurs. Core ethical issues have been raised around the role (...) and form of information sharing processes for learning healthcare systems, including individual consent and individual and public general notification processes, but little research has focused on this perspective in low-middle income countries. We conducted a qualitative study on the role of information sharing and governance processes for inpatient data re-use, using in-depth interviews with 34 health stakeholders at two public hospitals on the Kenyan coast, including health managers, providers and researchers. Data were collected between March and July 2016 and analysed using a framework approach, with Nvivo 10 software to support data management. Most forms of clinical data re-use were seen as an important public health good. Individual consent and general notification processes were often argued as important, but contingent on interrelated influences of the type of data, use and secondary user. Underlying concerns were linked to issues of patient privacy and autonomy; perceived risks to trust in health systems; and fairness in how data would be used, particularly for non-public sector re-users. Support for engagement often turned on the anticipated outcomes of information-sharing processes, as building or undermining trust in healthcare systems. As reported in high income countries, learning healthcare systems in low-middle counties may generate a core ethical tension between supporting a public good and respecting patient autonomy and privacy, with the maintenance of public trust acting as a core requirement. While more evidence is needed on patient and public perspectives on learning healthcare activities, greater collaboration between public health and research governance systems is likely to support the development of efficient and locally responsive learning healthcare activities in LMICs. (shrink)

Modelling nursing activities: electronic patient records and their discontents A fully integrated and operating EPR in a clinical setting is hard to find: most applications can be found in outpatient or general practice settings or in isolated hospital wards. In clinical work practice problems with the electronic patient record (EPR) are frequent. These problems are at least partially due to the models of health care work embedded in EPRs. In this paper we will argue that these problems are (...) at least partially due to the models of health care work embedded in current EPRs. We suggest that these models often contain projections of nurses’ and doctors’ work as it should be performed on the ward, rather than depicting how work is actually performed. We draw upon sociological insights to elucidate the fluid and pragmatic nature of healthcare work and give recommendations for the development of an empirically based EPR, which can support the work of nurses and other health care providers. We argue that these issues are of great importance to the nursing profession, since the EPR will help define the worksettings of the future. Since it is a tool that will impact the development of the nursing profession, nurses have and should have a stake in its development. (shrink)

Being present in the same room not only enables people to exchange non-verbal communication but also the physical properties of the room offer opportunities for action and thus contribute to the ongoing social process. This paper discusses concepts from social and behavioural sciences to better understand the role of physical environments and artefacts with respect to cooperation among a group of people. Barker's behaviour setting theory is studied and applied to electronic settings. Requirements for ‘electronic behaviour settings’ to (...) enable situated cooperation in CSCW across spatial and temporal distances will be derived. Electronic behaviour settings should embody their own physical behaviour, and thus provide electronic places for cooperation. Adaptation to a particular group process can be achieved through a particular constitution of the setting and its adaptation in the course of practical use. This paper studies how this concept maps to existing groupware systems and outlines from practical experience whether this concept may help users adopt groupware in their work practice. This approach will contribute to the support of situated action in computer-supported cooperative work. (shrink)

This paper finds out whether a higher degree matters in school performance, and in demonstrating leadership and core behavioral competencies among school heads. This was conducted to support the existing and future policies of the Department of Education and interested funders for the scholarship and advanced studies of school heads. Using a cross-sectional method, it involved 192 randomly selected participants. Data on school performance was obtained at the office of Surigao del Sur Division, while data on competencies (...) were gathered through the self-administered assessment tools developed by the Department of Education. These data were analyzed using descriptive statistics and analysis of variance. Results revealed that there was no significant difference in the school performance of school heads. This implies that the highest degree obtained is not a guarantee for better school performance. As found, those with doctorate degrees had a very high and consistent demonstration in all dimensions of leadership and core behavioral competencies. As unveiled, there were significant differences in the demonstrated competencies based on the highest educational qualifications. These imply that obtaining the highest degrees can allow school heads to acquire, develop, and demonstrate the competencies consistently better than their counterparts. Results have implications for DepEd officials, funders, and policy-makers. (shrink)

The aim of the research is to identify the relationship between the performance criteria and the achievement of the objectives of supervision which is represented in the performance of the job at the Islamic University in Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (22) paragraphs distributed to three categories of employees of the Islamic University (senior management, faculty members, their assistants and members (...) of the administrative board). A random sample of 314 employees was selected, 276 responses were retrieved with a return rate of 88.1%. The SPSS program was used to enter, process, and analyze the data. The results of the study showed a positive relationship between the performance criteria and the achievement of the control objectives represented by the job performance in the Islamic University from the point of view of the members (senior management, faculty and their assistants and the administrative board). The researchers also recommended a number of recommendations, including the provision of an appropriate level of control system components today through the continuous updating and development of performance standards and the need to provide the necessary physical and financial resources to continue the development and achievement within the university. Expand the development of technology in the various activities of the university through the construction of a complete and integrated system to support the control systems in the university to suit its size. The researchers also recommended the follow-up, review of the performance standards and work to modify them in line with the mission of the university and the goals that the university seeks to reach. (shrink)

Artificial intelligence (AI) systems are increasingly being used in healthcare, thanks to the high level of performance that these systems have proven to deliver. So far, clinical applications have focused on diagnosis and on prediction of outcomes. It is less clear in what way AI can or should support complex clinical decisions that crucially depend on patient preferences. In this paper, we focus on the ethical questions arising from the design, development and deployment of AI (...) class='Hi'>systems to support decision-making around cardiopulmonary resuscitation and the determination of a patient’s Do Not Attempt to Resuscitate status (also known as code status). The COVID-19 pandemic has made us keenly aware of the difficulties physicians encounter when they have to act quickly in stressful situations without knowing what their patient would have wanted. We discuss the results of an interview study conducted with healthcare professionals in a university hospital aimed at understanding the status quo of resuscitation decision processes while exploring a potential role for AI systems in decision-making around code status. Our data suggest that (1) current practices are fraught with challenges such as insufficient knowledge regarding patient preferences, time pressure and personal bias guiding care considerations and (2) there is considerable openness among clinicians to consider the use of AI-based decision support. We suggest a model for how AI can contribute to improve decision-making around resuscitation and propose a set of ethically relevant preconditions—conceptual, methodological and procedural—that need to be considered in further development and implementation efforts. (shrink)

Plagiarism detection is the process of finding similarities on electronic based documents. Recently, this process is highly required because of the large number of available documents on the internet and the ability to copy and paste the text of relevant documents with simply Control+C and Control+V commands. The proposed solution is to investigate and develop an easy, fast, and multi-language support plagiarism detector with the easy of one click to detect the document plagiarism. This process will be done (...) with the support of intelligent system that can learn, change and adapt to the input document and make a cross-fast search for the content on the local repository and the online repository and link the content of the file with the matching content everywhere found. Furthermore, the supported document type that we will use is word, text and in some cases, the pdf files –where is the text can be extracting from them- and this made possible by using the DLL file from Word application that Microsoft provided on OS. The using of DLL will let us to not constrain on how to get the text from files; and will help us to apply the file on our Delphi project and walk throw our methodology and read the file word by word to grantee the best working scenarios for the calculation. In the result, this process will help in the uprising the documents quality and enhance the writer experience related to his work and will save the copyrights for the official writer of the documents by providing a new alternative tool for plagiarism detection problem for easy and fast use to the concerned Institutions for free. (shrink)

Purpose: Performance measurement systems (PMS) in Nonprofit Organizations (NPOs) are more complex than in for-profit organizations. NPOs have an orientation towards social mission and values, and they consider not only organizational efficiency and viability, but also the social impact of the organization. This research provides a comprehensive synthesis of PMSs in NPOs. Design/methodology/approach: Using a literature review, supported by bibliometric and network analyses. A paper set of 240 articles related to this research field is examined. Topics that are (...) the most prevalent in this research area and their interrelationships are identified, presenting an outline of current efforts. Findings: Despite the descriptive analyses for the paper set, a framework is proposed for organizing the design-implementation factors of PMSs in nonprofit organizations, identifying the main requirements for their successful development. Originality/value: Investigation on performance measurement in nonprofit organizations is still in its early stages of development with many opportunities to further develop the field. Conceptual frameworks and models, as well as specific theories, are being generated for this field of research, and the process of adapting models from the general field of performance measurement is taking place. The meta-framework that organizes the main research topics of PMS in nonprofit organizations and the framework that consolidates factors that influence the design-implementation of PMSs in nonprofit organizations developed represents this paper contribution. (shrink)

The study aimed to identify the role of administrative procedures and systems in enhancing the performance of the educational institutions in the Islamic University in Gaza. To achieve the research objectives, the researchers used the analytical descriptive approach to collect information. The researchers used the questionnaire distributed to three categories of employees at the Islamic University (senior management, faculty members, their assistants and members of the administrative board). A random sample of 314 employees was selected and 276 questionnaires (...) were retrieved with a recovery rate of 88.1%. The Statistical Analysis Program (SPSS) was used to enter process and analyze data. The results of the research showed a positive role for the administrative procedures and systems in enhancing the performance of the Islamic University from the point of view of the members (senior management, teaching staff and their assistants and the administrative body), where the relative weight of all the paragraphs (73.728%). The analysis of the results revealed that the administrative procedures at the Islamic University in Gaza are used to an acceptable degree. The relative weight of all the paragraphs is 70%. This indicates a relationship between administrative procedures and regulations and the performance of the Islamic University in the Gaza Strip. The study found that there was a good degree of approval from the sample regarding the administrative procedures and their relationship to the job performance. There exist a sufficient degree of powers to the deans and department managers to carry out their tasks, with the use of plans as control tools. And that there are rules and procedures provided for decision-making in the University Council. It also has full powers to manage the university to improve the teaching and learning environment. The researchers also recommended a number of recommendations, including the need to follow up on the procedures and systems of management and update them continuously in the light of changes that may occur and to ensure the existence of a strong system of electronic information systems within the university. There is a need to provide mechanisms for obtaining information about the surrounding external environment, and effective mechanisms to provide managers with the necessary information in a timely manner. The importance of providing channels of communication that enables staff to communicate information about any violations and breaches. The study also recommended the follow-up, review, procedures and administrative systems, and work to modify them in line with the mission of the university and the objectives that the university seeks to reach. (shrink)

Gender discrimination continues to be a problem in organizations. It is therefore important that organizations use performance evaluation methods that ensure equal opportunities for men and women. This article reports the results of an experiment to investigate whether and, if so, how the gender of the rater and that of the ratee moderate the relationship between the level of subjectivity in performance appraisals and organizational attractiveness. Participants in the experiment were 313 undergraduate students. We predicted, and indeed established, (...) that as the probability increases that employee performance is evaluated by a female manager, women expect more positive outcomes of subjective, but not objective evaluation processes. Our data did not support our expectation that as the probability of being evaluated by a female manager increases, men expect less positive outcomes of subjective evaluation processes. The findings of this study contribute to our understanding of why women are over-represented in jobs with objective formula-based reward systems, such as piece-rate systems. They are also of interest to organizations that are looking for more ethical human resource management practices. (shrink)