While the term “reactivity” has come to be associated with specific phenomena in the social sciences, having to do with subjects’ awareness of being studied, this paper takes a broader stance on this concept. I argue that reactivity is a ubiquitous feature of the psychological subject matter and that this fact is a precondition of experimental research, while also posing potential problems for the experimenter. The latter are connected to the worry about distorted data and experimental artifacts. But what (...) are experimental artifacts and what is the most productive way of dealing with them? In this paper, I approach these questions by exploring the ways in which experimenters in psychology simultaneously exploit and suppress the reactivity of their subject matter in order to produce experimental data that speak to the question or subject matter at hand. Highlighting the artificiality of experimental data, I raise the question of what distinguishes a genuine experimental result from an experimental artifact. My analysis construes experimental results as the outcomes of inferences from the data that take material background assumptions as auxiliary premises. Artifacts occur when one or more of these background assumptions are false, such that the data do not reliably serve the purposes they were generated for. I conclude by laying out the ways in which my analysis of data quality is relevant to, and informed by, recent debates about the replicability of experimental results. (shrink)

In this commentary, I propose a framework for thinking about data quality in the context of scientific research. I start by analyzing conceptualizations of quality as a property of information, evidence and data and reviewing research in the philosophy of information, the philosophy of science and the philosophy of biomedicine. I identify a push for purpose dependency as one of the main results of this review. On this basis, I present a contextual approach to data (...) quality in scientific research, whereby the quality of a dataset is dependent on the context of use of the dataset as much as the dataset itself. I exemplify the approach by discussing current critiques and debates of scientific quality, thus showcasing how data quality can be approached contextually. (shrink)

Wearable devices are increasingly present in the health context, as tools for biomedical research and clinical care. In this context, wearables are considered key tools for a more digital, personalised, preventive medicine. At the same time, wearables have also been associated with issues and risks, such as those connected to privacy and data sharing. Yet, discussions in the literature have mostly focused on either technical or ethical considerations, framing these as largely separate areas of discussion, and the contribution of (...) wearables to the collection, development, application of biomedical knowledge has only partially been discussed. To fill in these gaps, in this article we provide an epistemic (knowledgerelated) overview of the main functions of wearable technology for health: monitoring, screening, detection, and prediction. On this basis, we identify 4 areas of concern in the application of wearables for these functions: data quality, balanced estimations, health equity, and fairness. To move the field forward in an effective and beneficial direction, we present recommendations for the 4 areas: local standards of quality, interoperability, access, and representativity. (shrink)

The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing (...) objective data in other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

In this opening chapter, we review the literature on information quality. Our major aim is to introduce the issues, and trace some of the history of the debates, with a view to situating the chapters in this volume – whose authors come from different disciplines – to help make them accessible to readers with different backgrounds and expertise. We begin in this section by tracing some influential analyses of IQ in computer science. This is a useful basis for examining (...) some examples of developing work on IQ in section two. We look at some cases for applying IQ in section three, and conclude with some discussion points in section four. (shrink)

Nowadays, protecting trust in social sciences also means engaging in open community dialogue, which helps to safeguard robustness and improve efficiency of research methods. The combination of open data, open review and open dialogue may sound simple but implementation in the real world will not be straightforward. However, in view of Begley and Ellis’s (2012) statement that, “the scientific process demands the highest standards of quality, ethics and rigour,” they are worth implementing. More importantly, they are feasible to (...) work on and likely will help to restore plausibility to social sciences research. Therefore, I feel it likely that the triplet of open data, open review and open dialogue will gradually emerge to become policy requirements regardless of the research funding source. (shrink)

The existing body of knowledge has witnessed gaps arising from the paucity of research literature on the quality of educational research output in higher education. This study shows how the management of data in higher education affects the quality of academic research conducted by university lecturers in South-South Nigeria. The study adopted a factorial research design. The population of this study includes all the Faculty of Education academic staff in both public and private universities situated in South-South (...) Nigeria. Using results of a survey administered to a sample of 602 accessible lecturers during data collection, one research question and one null hypothesis were resolved in the study. Multiple regression was employed in the analysis of data. Findings revealed amongst others that; data storage, data security, data retrieval, data sharing, and data re-use jointly contributed to the total variance in educational research effectiveness in terms of proper citations by 56.25%, problem-solving by 22.14%, knowledge creation by 34.50%, and generation of testable data by 36.88%; and their composite influence on educational research effectiveness in terms of proper citations, problem- solving, knowledge creation, and generation of testable data, is statistically significant. Based on the findings of this study, it was concluded that data management practices play an important role in higher education that significantly influences the quality of research output in universities in South- South Nigeria. It was recommended among others that, there should be an up-to-date database or data warehouse in Ministries of Education where researchers can easily access data in order to increase the quality of researches by eliminating the problems of data fabrication and falsification. (shrink)

I develop and defend a sense-datum theory of perception. My theory follows the spirit of classic sense-datum theories: I argue that what it is to have a perceptual experience is to be acquainted with some sense-data, where sense-data are private particulars that have all the properties they appear to have, that are common to both perception and hallucination, that constitute the phenomenal characters of perceptual experiences, and that are analogous to pictures inside one’s head. But my theory also (...) diverges from conventional sense-datum theories in some key respects: on my view, (1) sense-data are first-person presentations of neural states, (2) the sensational qualities of sense-data differ in kind from the sensible qualities of external objects, and (3) sense-data are the vehicles in virtue of which we perceive, rather than the objects that we perceive. I argue that this package of claims is appropriately labeled ‘sense-datum theory’, and that the resultant view ought to be a live contender in contemporary philosophy of perception. (shrink)

This review delves into the influence of big data analytics on project management effectiveness and project success rates. By examining applications, accomplishments, hindrances, and emerging developments in the context of big data analytics and project management, this review provides insights into its transformative potential. Results indicate that big data analytics fosters improved project performance, more robust risk management, and heightened adaptability. However, challenges related to data quality, privacy, and project manager training remain to be addressed. (...) This review underscores the value of data-driven decision-making for both practitioners and researchers in the project management field. (shrink)

Data is very important in any research experiment because it occupies a central place in making decisions based on findings resulting from the analysis of such data. Given its central role, it follows that such an important asset as data, deserve effective management in order to protect the integrity and provide an opportunity for effective problem-solving. The main thrust of this paper was to examine data management practices that should be adopted by scholars in maintaining the (...) quality of their research data. In achieving this, various concepts related to this paper were clarified. Various data management practices were also discussed beginning from data generation to data shredding. Based on the underlying observations from the light of the discussions made in this paper, it was recommended among others that: tertiary institutions in every part of the world should endeavour to establish a data management unit that will be saddled with the primary duty of formulating research data management policies, and the hosting of research data; every Journal should as a matter of compulsion, require the submission of data set corresponding to empirical papers submitted by authors and scholars. (shrink)

This study assessed quality assurance practices and students’ performance evaluation in universities of South-South Nigeria using an SEM approach. Three null hypotheses guided the study. Based on factorial research design, and using a stratified random sampling technique, a sample of 878 academic staff were drawn from a sampling frame of 15 universities in South-South Nigeria. Quality Assurance Practices Students’ Performance Evaluation Scale (QAPSPES) with split-half reliability estimates ranging from .86–.92, was used as the instruments for data collection. (...) Multiple regression and Confirmatory Factor Analyses (CFA) were used for the analysis of data, model building, and testing of the hypotheses at .05 alpha level. Findings showed a significant composite and relative influence (F=48.19, P<.05) of school management, staff, and students’ quality assurance practices on students’ performance evaluation. The results also indicated that there were positive and significant covariances between the four variables of this study, with the CFI, RMSEA, TLI, and SRMR values indicating a good model fit. It was recommended, based on the findings of this study that, each school should organize quality assurance orientation campaigns for new students and set up quality assurance committees at the school, faculty and departmental levels for optimal performance in schools. (shrink)

This study evaluated school quality indicators and teachers job performance in Cross River State. One research question and four null hypotheses were raised following factorial research design. Proportionate random sampling technique was employed in selecting a sample of 1,463 teachers representing 30 percent from a population of 4,878 teachers distributed across 271 public secondary schools in Cross River State. “School Quality Indicators Questionnaire (SQIQ) and Teachers’ Job Performance Questionnaire (TJPQ)” were the instruments used for data collection. Prepared (...) data were analyzed using descriptive statistics; while the null hypotheses were all tested at .05 alpha level using Pearson Product Moment Correlation and Multiple regression analyses as appropriate with the aid of Minitab statistical software v18. Findings revealed that, quality of school facilities, leadership, and supervision jointly accounted for 90.6 percent (Pred. R2 = .9063) of the total variance of teachers’ job performance; there is significant relationship between quality of school facilities (r = .478, p< .05), quality of leadership (r = .928, p< .05) quality of supervision (r = .881, p< .05) respectively with secondary school teachers’ job performance; quality of school facilities, leadership, and supervision have significant composite influence (F=4800.58, p<.05) on secondary school teachers’ job performance; quality of leadership was the highest predictor (t=45.38, p< .05) of teachers’ job performance, followed by quality of school supervision (t = 27.29, p <.05). Based on these findings, conclusions and recommendations were made for improvement. Keywords:. (shrink)

The chapter outlines an abstract theoretical framework that is currently (re-)emerging in the course of a theoretical convergence of several disciplines. In the first section, the fundamental problem of perception theory is formulated, namely, the generation, by the perceptual system, of meaningful categories from physicogeometric energy patterns. In the second section, it deals with basic intuitions and assumptions underlying what can be regarded as the current Standard Model of Perceptual Psychology and points out why this model is profoundly inadequate for (...) dealing with the fundamental problem of perception theory. In the third section, it discusses a level of analysis that promises to be fruitful for dealing, in conformity with established procedures of the natural sciences, with the problem of perceptual “meaning” and the problem of what constitutes a “perceptual object.” In the fourth section, it outlines a theoretical perspective on basic principles of the perceptual system which centers on the notions of complex data types and conceptual forms, and draws an entirely different theoretical picture of the role of the sensory input than traditional accounts. The final section focusses on the issue of material qualities and discusses, within the general theoretical framework outlined, some observations and results on the perception of certain material properties, namely, lustrous and glassy appearances. (shrink)

Abstract: The study aimed to determine the quality of services and its role in enhancing strategic flexibility, from the point of view of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data and consisted of (39) items, and the researchers used the comprehensive survey method, and the number of the study population was (536) individuals, where (434) questionnaires were (...) retrieved, and the recovery rate was (80.97%). The study revealed many results, the most important of which were: the existence of a high degree of approval by the study sample regarding the quality of services, as it was evident through the field of service quality obtaining a relative weight (79.90%), and the results of the study indicated that there is a moderate degree of approval by the members of the study sample. On the strategic flexibility, as it was evident by obtaining the area of strategic flexibility as a whole on a relative weight (60.44%). The results of the study revealed a statistically significant relationship between the quality of services and the strategic flexibility in non-governmental hospitals in Gaza Strip, with a correlation coefficient of 0.490). The results of the study also revealed a statistically significant effect of the quality of services on the strategic flexibility in non-governmental hospitals in Gaza Strip. The study reached many recommendations, the most important of which were: Establishing an effective system to receive patients' complaints in a manner that ensures rapid response and treatment, to achieve continuous communication between patients and the hospital administration, to notify patients of dealing with the complaints they submit, and to work to provide all medical and health specialties in hospitals in place. The study, by making use of medical delegations visiting Gaza Strip, involving them in therapeutic operations, bringing in doctors and specialists from abroad, updating the criteria for measuring services provided to patients on an ongoing basis, based on patients' suggestions and complaints, developing facilities in hospitals, as well as updating medical devices and equipment Used in hospitals periodically and the need to work on appointing young people and people of energy, for vacancies in the hospitals under study, and the need to seek the help of an administrative staff that is distinguished by scientific and practical qualifications, and to work on updating information systems, archiving and networks through which data and information are transferred between departments, and finding mechanisms to be done from During which the information stored can be used to enhance the decision-making process. (shrink)

Since the release of OpenAI's ChatGPT, the world has entered a race to develop more capable and powerful AI, including artificial general intelligence (AGI). The development is constrained by the dependency of AI on the model, quality, and quantity of training data, making the AI training process highly costly in terms of resources and environmental consequences. Thus, improving the effectiveness and efficiency of the AI training process is essential, especially when the Earth is approaching the climate tipping points (...) and planetary boundaries. It is evident that AI can function better when trained to mimic certain human mental processes. Based on insights from quantum mechanics and the informational entropy-based notion of value, we suggest AI developers can enhance the AI training processes' effectiveness and efficiency by creating and implementing parameter systems that are capable of effectively assigning probabilities to informational quanta. Such systems can help reduce entropy within the system, which lowers the energy required for data storage and processing while decreasing the likelihood of information loss during training. Successfully applying the concept of information entropy-based value in AI development will be crucial for advancing generative AI and achieving AGI in a sustainable manner. (shrink)

Ontological realism aims at the development of high quality ontologies that faithfully represent what is general in reality and to use these ontologies to render heterogeneous data collections comparable. To achieve this second goal for clinical research datasets presupposes not merely (1) that the requisite ontologies already exist, but also (2) that the datasets in question are faithful to reality in the dual sense that (a) they denote only particulars and relationships between particulars that do in fact exist (...) and (b) they do this in terms of the types and type-level relationships described in these ontologies. While much attention has been devoted to (1), work on (2), which is the topic of this paper, is comparatively rare. Using Referent Tracking as basis, we describe a technical data wrangling strategy which consists in creating for each dataset a template that, when applied to each particular record in the dataset, leads to the generation of a collection of Referent Tracking Tuples (RTT) built out of unique identifiers for the entities described by means of the data items in the record. The proposed strategy is based on (i) the distinction between data and what data are about, and (ii) the explicit descriptions of portions of reality which RTTs provide and which range not only over the particulars described by data items in a dataset, but also over these data items themselves. This last feature allows us to describe particulars that are only implicitly referred to by the dataset; to provide information about correspondences between data items in a dataset; and to assert which data items are unjustifiably or redundantly present in or absent from the dataset. The approach has been tested on a dataset collected from patients seeking treatment for orofacial pain at two German universities and made available for the NIDCR-funded OPMQoL project. (shrink)

Background Consent policies for post-mortem organ procurement (OP) vary throughout Europe, and yet no studies have empirically evaluated the ethical implications of contrasting consent models. To fill this gap, we introduce a novel indicator of governance quality based on the ideal of informed support, and examine national differences on this measure through a quantitative survey of OP policy informedness and preferences in seven European countries. -/- Methods Between 2017–2019, we conducted a convenience sample survey of students (n = 2006) (...) in Austria (AT), Belgium (BE), Denmark (DK), Germany (DE), Greece (GR), Slovenia (SI) and Spain (ES), asking participants about their donation preferences, as well as their beliefs and views about the policy in place. From these measures, we computed indices of informedness, policy support, and fulfilment of unexpressed preferences, which we compared across countries and consent systems. -/- Results Our study introduces a tool for analyzing policy governance in the context of OP. Wide variation in policy awareness was observed: Most respondents in DK, DE, AT and BE correctly identified the policy in place, while those in SI, GR and ES did not. Respondents in opt-out countries (AT, BE, ES and GR) tended to support the policy in place (with one exception, i.e., SI), whereas those in opt-in countries (DE and DK) overwhelmingly opposed it. These results reveal stark differences in governance quality across countries and consent policies: We found a preponderance of informed opposition in opt-in countries and a general tendency towards support–either informed or uninformed–in opt-out countries. We also found informed divergence in opt-in countries and a tendency for convergence–either informed or uninformed–among opt-out countries. -/- Conclusion Our study offers a novel tool for analyzing governance quality and illustrates, in the context of OP, how the strengths and weaknesses of different policy implementations can be estimated and compared using quantitative survey data. (shrink)

The contribution of the data paper publishing paradigm to the knowledge generation and validation processes is becoming substantial and pivotal. In this paper, through the information-processing perspective of Mindsponge Theory, we discuss how the data article publishing system serves as a filtering mechanism for quality control of the increasingly chaotic datasphere. The overemphasis on machine-actionality and technical standards presents some shortcomings and limitations of the data article publishing system, such as the lack of consideration of humanistic (...) values, radical race for big data, and inadequate use of expertise in data evaluation. Without addressing the shortcomings and limitations, the reusability of data will be hindered, and scientific investment to facilitate data sharing will be wasted. Thus, we suggest that the current data paper publishing paradigm needs to be updated with a new philosophy of data. (shrink)

The growth of individuals and society heavily relies on education. Certain hindrances may prompt some students to halt their academic pursuits temporarily. This is known as "Balik-aral." The exploration of the quality of life, lived experiences, and challenges of grade 12 Balik-aral students was undertaken by the authors to break their silence and help them by developing recommendations that could be presented to the school's key stakeholders. A phenomenological approach was used to understand the phenomenon in a study involving (...) five grade 12 balik-aral students from different strands currently enrolled in a public school in Cebu City, Philippines. A structured interview was used to collect data, and significant themes emerged during data analysis using Colaizzi's method. The study revealed several sub-themes, including age disparities and pressure to obtain the diploma while maintaining quality of life. Additionally, key informants emphasized the sense of community and an immersive learning environment in their lived experiences as balik-aral students. Finally, competing priorities and scarcity of resources emerged as significant challenges for those involved in the study. Consequently, the investigation has determined that balik-aral students must be treated equitably to foster their engagement with their peers and enhance their self-assurance, ultimately leading to academic success. (shrink)

This study evaluated the quality of educational resources vis-à-vis effective instructional service delivery in Nigerian universities. Particularly, the study was carried out in university of Calabar, using five hundred and nineteen (519) students selected through the simple random sampling technique from the fifteen faculties of the University of Calabar. To achieve the purpose of the study, two hypotheses were formulated. A questionnaire titled quality of educational resources and effectiveness of instructional service delivery questionnaire (QEREISDQ) was developed by the (...) researchers, this was subjected to face and content validity by three experts in measurement and evaluation and Administration of Higher education all in Faculty of Education University of Calabar. A pilot test was carried out using forty students from University of Uyo in Akwa Ibom state to establish the reliability of the instrument. Using the Cronbach’s alpha reliability method, the instrument had a reliability coefficient of α=.79-.85. The instrument was administered to the respondents and retrieved with Zero attrition rate. The data collected was analyzed through means, standard deviation, Pearson product moment correlation and multiple regression analysis. It was revealed among other things that; the quality of educational resources has a significant relationship with effective of instructional service delivery, with the quality of lecturers being the strongest predictor of effective instructional delivery. However, it was also revealed that the quality of library was significantly low and influenced effective instructional delivery negatively. It was therefore, recommended that government and corporate organizations should provide adequate educational resources and promote viral development programmes for lecturers to enhance effective instructional delivery in Nigerian universities. (shrink)

Detecting quality in large unstructured datasets requires capacities far beyond the limits of human perception and communicability and, as a result, there is an emerging trend towards increasingly complex analytic solutions in data science to cope with this problem. This new trend towards analytic complexity represents a severe challenge for the principle of parsimony (Occam’s razor) in science. This review article combines insight from various domains such as physics, computational science, data engineering, and cognitive science to review (...) the specific properties of big data. Problems for detecting data quality without losing the principle of parsimony are then highlighted on the basis of specific examples. Computational building block approaches for data clustering can help to deal with large unstructured datasets in minimized computation time, and meaning can be extracted rapidly from large sets of unstructured image or video data parsimoniously through relatively simple unsupervised machine learning algorithms. Why we still massively lack in expertise for exploiting big data wisely to extract relevant information for specific tasks, recognize patterns and generate new information, or simply store and further process large amounts of sensor data is then reviewed, and examples illustrating why we need subjective views and pragmatic methods to analyze big data contents are brought forward. The review concludes on how cultural differences between East and West are likely to affect the course of big data analytics, and the development of increasingly autonomous artificial intelligence (AI) aimed at coping with the big data deluge in the near future. Keywords: big data; non-dimensionality; applied data science; paradigm shift; artificial intelligence; principle of parsimony (Occam’s razor) . (shrink)

During much of the past century, it was widely believed that phonemes--the human speech sounds that constitute words--have no inherent semantic meaning, and that the relationship between a combination of phonemes (a word) and its referent is simply arbitrary. Although recent work has challenged this picture by revealing psychological associations between certain phonemes and particular semantic contents, the precise mechanisms underlying these associations have not been fully elucidated. Here we provide novel evidence that certain phonemes have an inherent, non-arbitrary emotional (...) quality. Moreover, we show that the perceived emotional valence of certain phoneme combinations depends on a specific acoustic feature--namely, the dynamic shift within the phonemes' first two frequency components. These data suggest a phoneme-relevant acoustic property influencing the communication of emotion in humans, and provide further evidence against previously held assumptions regarding the structure of human language. This finding has potential applications for a variety of social, educational, clinical, and marketing contexts. (shrink)

In this chapter, data concerning the development of principal aspects of vision is reviewed. First, the development of colour vision and luminance perception is discussed. Relevant data accumulated so far indicates that perception of colour and luminance is present by 6-9 months of age. The presence of typical color illusions at this age suggests that the phenomenal character of color experience is comparable to that of adults well before the first birthday. Thus it seems plausible that color perception (...) develops on the grounds of genetically preprogrammed maturation, in which perceptual learning and plasticity play a limited role. This claim also seems to be supported by case studies of newly sighted patients. On the other hand, perceptual integration of edges and forms in the visual environment as well as the development of binocular vision, and the perception of ambiguous figures seem to depend crucially on early perceptual learning. Both developmental and clinical data indicate a more significant involvement of perceptual learning in such mid-level and higher level perceptual phenomena. (shrink)

We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance (...) metrics like Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared. (shrink)

Cloud computing is the computing technology which provides resources like software, hardware, services over the internet. Cloud computing provides computation, software, data access, and storage services that do not require end- user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements (...) but it possesses a new security risk towards correctness of data stored at cloud. The data storage in the cloud has been a promising issue in these days. This is due to the fact that the users are storing their valuable data and information in the cloud. The users should trust the cloud service providers to provide security for their data. Cloud storage services avoid the cost storage services avoids the cost expensive on software, personnel maintains and provides better performance less storage cost and scalability, cloud services through internet which increase their exposure to storage security vulnerabilities however security is one of the major drawbacks that preventing large organizations to enter into cloud computing environment. This work surveyed on several storage techniques and this advantage and its drawbacks. (shrink)

Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Mining process of big data is the ability to extract valuable information from these large datasets. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold. The classical association rules can only be extracted from (...) binary data where an item exists in a transaction, but it fails to deal effectively with quantitative attributes, through decreasing the quality of generated association rules due to sharp boundary problems. In order to overcome the drawbacks of classical association rule mining, we propose in this research a new neutrosophic association rule algorithm. The algorithm uses a new approach for generating association rules by dealing with membership, indeterminacy, and non-membership functions of items, conducting to an efficient decision-making system by considering all vague association rules. To prove the validity of the method, we compare the fuzzy mining and the neutrosophic mining. The results show that the proposed approach increases the number of generated association rules. (shrink)

The healthcare industry has become a paramount concern for most people in Ghana and the quality of services rendered to the patients in the private hospitals cannot be overemphasized. Patients need quality of services most and are willing to seek better services. The government has been the main provider of health care services in Ghana but recently, some Non-Governmental Organization’s (NGO’s), private individuals and stakeholders also provide health care services which has surged the competitiveness in creating more healthcare (...) facilities in Ghana. This study seeks to explore patients' choice of selecting quality healthcare services and the factors that affect patient satisfaction in private hospitals using the case of Comboni Hospital in Sogakope, Ghana. The study therefore used the quantitative research method to collect the data and SPSS version 22 was used to analyze the data on high-quality healthcare. The SERVQUAL model was used as the measurement scale. Multiple regression analysis was used to reveal the effect of the independent variables (reliability, responsiveness, empathy, assurance, and tangibility) on the dependent variable (patient satisfaction). A detailed description in the analysis and the data processing identified the main factors affecting the general perceptions and patient preferences about their healthcare in the private hospital. The study revealed that there exist a positive result and perception for quality healthcare services without a negative expectation of the patient healthcare being compromised. The study recommends that both the government and the private agencies should consider the important aspects of the hospital’s healthcare management and also the policy and decision makers should have an efficient and effective standard that impact the quality of healthcare assessment in Ghana. (shrink)

The study aimed to identify the effect of Total Quality Management in achieving the requirements of the quality of job life among university college employees, and the researchers used the descriptive and analytical approach, and used a main tool to collect information, which is: the questionnaire. The study population reached (596) academic and administrative employees distributed among (5) University colleges in Gaza Strip, and a stratified random sample of (240) employees was selected, approximately (40.3%) of the study population. (...) SPSS software was used to analyze the data. The study concluded that the application of the requirements of total quality management in university colleges in Gaza Strip is appropriate in general in terms of: (the commitment of the top management to total quality management, organizational structure, management with facts, focus on beneficiaries, staff empowerment, and continuous improvement). The sample on the dimensions of total quality management with a relative weight is (69.93%). And that the elements of job quality in university colleges in Gaza Strip are generally adequate in terms of: (moral working conditions, wages and rewards, participation in decision-making, handling of complaints and grievances, benefits provided to employees), where the response of the sample respondents was about the dimensions of job quality with a relative weight (63.30%), and the existence of a strong positive relationship between Total Quality Management in university colleges in Gaza Strip. And that there is a statistically significant effect of the variables of comprehensive quality management and quality of career in university colleges in Gaza Strip at a significance level (α = 0.05). And that the dimensions of total quality management most influencing the dimensions of job quality are: (empowering employees; continuous improvement; focusing on beneficiaries; managing with facts). The absence of differences between the answers of the sample members about the impact of Total Quality Management in achieving the requirements of the quality of the job life of the employees in university colleges due to the variable (academic qualification, years of service). And the existence of differences attributed to a variable (gender in favor of the male category, the college in favor of the university college of applied sciences category, and the nature of work attributed to an academic category with an administrative position). Among the most important recommendations of the study is the necessity for university colleges to be keen on: (achieving job satisfaction, employee participation when setting regulations and policies and making important decisions, adhering to scientific research requirements and encouraging scientific achievements and career creativity among employees, while providing material and moral facilities for scientific research and development, developing mechanisms and patterns of electronic work). University colleges must provide benefits to employees such as: (providing health care, organizing leisure trips, contributing to solving economic problems, providing club subscriptions). And the necessity for university colleges to pay attention to handling complaints and grievances through: (Assigning an efficient and competent committee to handle complaints and grievances in all fairness and transparency, adopting and following up the results of the application of handling complaints and grievances, protecting complainants from any arbitrary action against them). And the need for the Ministry of Education and Higher Education to develop the evaluation role of the National Authority for Accreditation, Quality and Quality of Higher Education Institutions to evaluate the performance of university colleges, to ensure the application of academic and administrative quality standards in colleges, and to seek the help of quality and excellence experts in evaluating the application of Total Quality Management in the academic and administrative f ield in accordance with regional performance standards And global. (shrink)

Abstract: The study aimed to determine the strategic flexibility and its relationship to the level of quality of services provided, from the viewpoint of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data and consisted of (39) items, and the researchers used the comprehensive survey method, and the number of the study population was (536) individuals, where (434) questionnaires (...) were retrieved, and the recovery rate was (80.97%). The study revealed many results, the most important of which were: the existence of a moderate degree of approval by the study sample individuals on strategic flexibility, as it was evident through the area of strategic flexibility as a whole having a relative weight (60.44%). The study is on the quality of services, as it became clear through the field of service quality obtaining a relative weight (79.90%). The results of the study revealed a statistically significant relationship between strategic flexibility and the quality of services in non-governmental hospitals in Gaza Strip, with a correlation coefficient of 0.490. The study reached many recommendations, the most important of which were: the need to work on appointing young people and those with potentials, because jobs are vacant in the hospitals under study, and the need to seek the help of an administrative staff with scientific and practical qualifications, and to work on updating information systems, archiving and networks through which data and information are transferred between departments And the creation of mechanisms by which stored information can be used to enhance the decision-making process, and an effective system to receive patients' complaints in a manner that ensures rapid response and treatment, to achieve continuous communication between patients and the hospital management, and to notify patients of dealing with the complaints they submit, and work to provide all Medical and health specialties in the hospitals under study, by making use of the medical delegations that visit Gaza Strip, involving them in the treatment processes, bringing in doctors and specialists from abroad, updating the standards related to measuring the services provided to patients on an ongoing basis, based on the suggestions and complaints of patients, and developing facilities in hospitals As well as updating the medical devices and equipment used in hospitals periodically. (shrink)

Perceptions of VITA satisfaction are the degree to which clients find various VITA site attributes important in enhancing their income tax preparation experience. The main dimensions of perceived VITA client satisfaction are reliability and accessibility, or service quality. The findings of this study reveal that between the two dimensions (reliability and accessibility); reliability has emerged as the most important predictor of client satisfaction. Therefore, it can be concluded, that the scales chosen are suitable to gain interpretable and reliable (...) class='Hi'>data on VITA client’s satisfaction of the service performed. (shrink)

The study aimed at identifying responsive flexibility and its role in improving service quality, from the point of view of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data, and the researchers used the comprehensive survey method, and the number of the study population was (536) single, where (434) questionnaires were retrieved, and the recovery rate was (80.97%). The (...) study showed many results, the most important of which were: The presence of moderate degree of approval by the study sample on the responsive flexibility, as it was evident through the response flexibility field obtaining a relative weight (60.50%), and the results of the study indicated that there is a high degree of approval by the members of the study sample. On the quality of service, as it was evident through the field of service quality obtaining a relative weight (79.90%). The results of the study revealed a statistically significant relationship between responsive flexibility and service quality in non-governmental hospitals in Gaza Strip, with a correlation coefficient of 0.418, and the results of the study revealed a statistically significant effect between responsive flexibility and service quality in non-governmental hospitals in Gaza Strip. The study reached many recommendations, the most important of which were: Finding mechanisms by which stored information can be used to enhance the decision-making process, and setting up an effective system to receive patients' complaints in a manner that ensures rapid response and treatment, to achieve continuous communication between patients and the hospital management, and to notify patients of abuse With the complaints that they submit, and working to provide all medical and health specialties in the hospitals under study, by making use of the medical delegations that visit Gaza Strip, involving them in the treatment processes, bringing in doctors and specialists from abroad, and updating the standards related to measuring the services provided to patients continuously, based on On patients' suggestions and complaints, developing facilities in hospitals, as well as updating medical devices and equipment used in hospitals periodically. (shrink)

The dishonest practices in the conduct of educational research in South-South region particularly, and Nigeria generally, has called for urgent intervention. This study assessed data management practices and educational research effectiveness of University Lecturers in South-South Nigeria. A sample of 602 lecturers that were accessible during data collection responded to two questionnaires (Data Management Practices Questionnaire – DMPQ and "Educational Research Effectiveness Questionnaire – EREQ). Multiple regression was employed in the analysis of data. Findings revealed amongst (...) others that; data storage, data security, data retrieval, data sharing, and data re-use jointly contributed to the total variance in educational research effectiveness in terms of proper citations by 56.25%, problem-solving by 22.14%, knowledge creation by 34.50%, and generation of testable data by 36.88%; and their composite influence on educational research effectiveness in terms of proper citations (F=152.25,p<.05), problem-solving (F=33.90,p<.05), knowledge creation (F=62.78,p<.05), and generation of testable data (F=69.65,p<.05), is statistically significant. Based on the findings of this study, it was recommended among others that, there should be an up-to-date database or data warehouse in Ministries of Education where researchers can easily access data in order to increase the quality of researches by eliminating the problems of data fabrication and falsification. This study contributes to the existing body of knowledge by addressing the gaps arising from the paucity of research literature on educational research effectiveness. This study shows how data management practices affects the quality of educational research output of university lecturers using empirical evidence from Nigeria. (shrink)

The purpose of this study is to identify the requirements of computerized Management Information Systems and their role in improving the quality of administrative decisions in the Palestinian Ministry of Education and Higher Education. The authors used the descriptive analytical method and the questionnaire method to collect the data. (247) questionnaires were distributed on the study sample and (175) questionnaires were collected back with a recovery rate of (70.8). The study showed a number of results, the most important (...) of which are: There exist a role for computerized management information system requirements in improving the quality of administrative decisions in the Ministry of Education and Higher Education. This result is due to the existence of the support and attention by the senior management in the Ministry of Education and Higher Education by 65.06%, the physical requirements available for the use of computerized Management Information Systems are available by (72.19%), and the software requirements for the use of computerized Management Information Systems are available at 67.74%. The results found that the human requirements available for the use of computerized Management Information Systems are available at (68.33%). The results showed that the organizational requirements that assist in the use of information systems are available at (64.19%). There are no statistically significant differences between respondents' responses to the role of computerized management information system requirements in improving the quality of administrative decisions in the Ministry of Education and Higher Education attributable to the variables(Gender, academic qualification, age, career level), while there are statistically significant differences in the role of computerized management information system requirements in improving the quality of administrative decisions in the Ministry of Education and Higher Education due to variable years of service. The study concluded that the Ministry of Education and Higher Education is able to cope with the external environmental changes rapidly and the limited time available for the collection and analysis of information. This means that administrative information systems should be used by increasing the approval of senior management on Management Information Systems in making their decisions, and to involve the employees in making any change and keep abreast of technical developments and try to use external bodies to advise in the field of computerized information systems, and work to increase coordination between the different departments of the ministry. (shrink)

Objectives: This study aimed to fill the gap between Vietnamese diabetic patients' needs and care through a qualitative study asking about their experiences with diabetes and quality of care. -/- Methods: Interviews with five diabetic patients were conducted at a tertiary general hospital located in southern Vietnam. The transcribed data were first subjected to quantitative text analysis using KH Coder to identify major categories of frequently used words, followed by a qualitative analysis of selected cases using the Steps (...) for Coding and Theorization (SCAT) method. -/- Results: The major categories of frequently used words were chronic health conditions, services, facilities, insurance, patient-doctor communication, and medication. SCAT analysis of three selected cases identified six themes: “Disregarding the disease at the early stage,” “Fear of complications,” “Satisfaction with hospital services and medical staff,” “Insurance-related problems,” “Long waiting times,” and “Communication barriers between patients and doctors.” Patients were satisfied with improved hospital facilities and services; however, the overloading of one hospital led to long waiting times and communication difficulties with doctors. Difficulties with health insurance were also observed, and patients were rather passive in disease management and needed to be empowered through improved communication with doctors and other care providers. -/- Conclusion: These findings from our trial of introducing a qualitative study into service evaluation suggest that listening to patients can help health providers learn their perspectives and be more responsive to their needs. (shrink)

The oil and gas industry is a complex data-driven industry with compute-intensive, data-intensive and business-intensive features. Cloud computing and big data have a broad application prospect in the oil and gas industry. This research aims to highlight the cloud computing and big data issues and challenges from the informatization in oil and gas industry. In this paper, the distributed cloud storage architecture and its applications for seismic data of oil and gas industry are focused on (...) first. Then,cloud desktop for oil and gas industry applications are also introduced in terms of efficiency, security and usability. Finally, big data architecture and security issues of oil and gas industry are analyzed. Cloud computing and big data architectures have advantages in many aspects, such as system scalability, reliability, and serviceability. This paper also provides a brief description for the future development of Cloud computing and big data in oil and gas industry. Cloud computing and big data can provide convenient information sharing and high quality service for oil and gas industry. (shrink)

This is a letter from an amateur philosopher to Alex Byrne expressing perplexity on reading Byrne's chapter in The Oxford Handbook of the Philosophy of Mind, "Sensory Qualities, Sensible Qualities, Sensational Qualities" (2009). A version of the theory of indirect perception is described using several analogies and one autobiographical episode. It is described as a realization that occurred historically and may occur to individuals, supplanting default naive realism. Byrne's readings of various philosophers' accounts of sensory qualities are then contrasted with (...) an interpretation consistent with the adduced theory of indirect perception. The difficulty of imagining the view from the opposite side of the direct/indirect perception divide is remarked upon. (shrink)

The fact that Internet companies may record our personal data and track our online behavior for commercial or political purpose has emphasized aspects related to online privacy. This has also led to the development of search engines that promise no tracking and privacy. Search engines also have a major role in spreading low-quality health information such as that of anti-vaccine websites. This study investigates the relationship between search engines’ approach to privacy and the scientific quality of the (...) information they return. We analyzed the first 30 webpages returned searching “vaccines autism” in English, Spanish, Italian, and French. The results show that not only “alternative” search engines but also other commercial engines often return more anti-vaccine pages (10–53%) than Google (0%). Some localized versions of Google, however, returned more anti-vaccine webpages (up to 10%) than Google. Health information returned by search engines has an impact on public health and, specifically, in the acceptance of vaccines. The issue of information quality when seeking information for making health-related decisions also impact the ethical aspect represented by the right to an informed consent. Our study suggests that designing a search engine that is privacy savvy and avoids issues with filter bubbles that can result from user-tracking is necessary but insufficient; instead, mechanisms should be developed to test search engines from the perspective of information quality (particularly for health-related webpages) before they can be deemed trustworthy providers of public health information. (shrink)

The aim of the study is to identify the effect of Service Quality and Corporate Image on Customer’s Loyalty .Questionnaires were distributed to collect responses from restaurant users in the Greater Accra region of Ghana. Descriptive statistics and correlation analysis were used to analyze the data and draw the conclusions. It was revealed that service quality and corporate image have strong positive association with customer’s loyalty .The study suggested that managers of restaurants provide needed logistics to aid (...) frontline staff to avoid delays in meeting customer demands. This will lead to high level of customer retention, loyalty, high market share and profitability. (shrink)

The study aimed to identify the reality of total quality management in university colleges in Gaza Strip, through its dimensions, which are (commitment of senior management; organizational building; employee empowerment; continuous improvement; focus on beneficiaries; management by facts), and to detect differences in the responses of sample members according to For personal variables (type; educational qualification; college; nature of work; years of service). The researchers used the descriptive analytical method, and used a main tool to collect information: the questionnaire (...) consisted of (42) phrases, and the study population reached (596) academic and administrative employees distributed to (5) university colleges in Gaza Strip, and it was chosen A stratified random sample of them consisted of (240) employees, approximately (40.3%) of the study population. (SPSS) was used to analyze the data. The study concluded a set of results, the most important of which are: (1) The application of the requirements of total quality management in university colleges in Gaza Strip is generally appropriate in terms of: (the commitment of senior management to total quality management, organizational building, facts management, focus on beneficiaries, employee empowerment, continuous improvement), where the response of the sample members was about the dimensions Total quality management with relative weight (69.93%). (2) There are differences at the level of significance (α =.05) between the averages of the respondents' responses to total quality management in university colleges in Gaza Strip due to gender and differences in favor of the male category. And differences attributed to the college and in favor of the University College of Professional Sciences. (3) There are no differences between the averages of the respondents' responses to total quality management in university colleges in Gaza Strip due to (Educational Qualification, Nature of Work, and Years of Service). Among the most important recommendations of the study: The need for university colleges to ensure: (achieving job satisfaction, employee participation when setting regulations and policies and making important decisions, adhering to the requirements of scientific research and encouraging scientific achievements and job creativity among employees, while providing material and moral facilities for scientific research and development, developing Mechanisms and patterns of electronic work). And that university colleges give attention to handling complaints and grievances through: (assigning a competent and competent committee to handle complaints and grievances in all fairness and transparency, adopting and following up on the results of implementing complaints and grievances, protecting the complainants from any arbitrary procedure against them). (shrink)

Rapid advancement of urbanization has necessitated the creation of "smart cities," where information and communication technologies (ICT) are used to improve the quality of urban life. Central to the smart city paradigm is data integration—connecting disparate data sources from various urban systems, such as transportation, healthcare, utilities, and public safety. This paper explores the role of Artificial Intelligence (AI) in facilitating data integration within smart cities, focusing on how AI technologies can enable effective urban governance. By (...) examining the current landscape of data integration and AI in smart cities, we highlight key challenges, solutions, and future trends. We conclude that AI-driven data integration is essential for optimizing city operations, fostering sustainability, and enhancing decision-making for urban governance. (shrink)

This study addresses the issue of maintaining nutritional quality amidst financial hardship faced by families in Plateau State, Nigeria. Surveys research designed was used for the study. The study covers 3 local government areas in Plateau State, ensuring diverse representation. The sample size of 400 families residing in Plateau State was used. Questionnaire was used to collect data for the study which capture the demographic information, dietary habits, household budget allocation for food, and perceptions of nutritional value. Mean (...) and standard deviation was used to present result for the findings. The findings of the study revealed that that there should be cost-effective meal planning strategies in promoting healthy eating habits. Also, socioeconomic factors impact cost-effective meal planning in promoting healthy eating habits. Based on the findings, stakeholders, policymakers, and community organizations should implement interventions that support cost-effective meal planning, enhance nutritional literacy, and alleviate financial burdens on families in Plateau State. This study may empower families to make informed dietary choices and achieve better health outcomes despite economic constraints. (shrink)

The aim of this paper is to study the relationship between customers’ online flow experience and the perceived quality of a brand website. First, we reviewed flow and perceived quality studies in the literature, and distinguished the flow construct from other similar concepts. Second, we proposed a conceptual diagram for a better understanding and a visual representation of the relationships between the two sets of variables. Third, we identified in the literature, scales for measuring online flow and perceived (...) quality, and ran a factor analysis, followed by a reliability analysis of the scales used. In order to address our research problem - how can the flow theory be used to increase the perceived quality of a brand website - we used a quasi-experimental design. The first phase of our study consisted of selecting a brand website: InPașcani, and establishing a task scenario. The second phase involved data collection. Through an email marketing platform we sent 890 emails containing an invitation to participate in the study. The sample used was nonprobabilistic. The opening rate of emails containing the invitation was 32.5%, with a 10% click rate on the link to participate in our study. At the end of this second phase, June 24, 2013 - July 3, 2013, we received 67 answers, of which 62 were valid. In order to test our hypotheses, we conducted a series of bivariate correlations for testing the relationship between the two sets of variables, and a simple linear regression analysis to examine the causal relationship between online flow state and the perceived quality of a brand website. We found that flow is an important construct that can be used by marketers in order to increase the perceived quality of a brand website. Finally, we discussed the limitations of our study and offered suggestions for future research. (shrink)

Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons (...) based on their quality, evaluate the model's performance, compare it to traditional machine learning approaches, and identify key factors that affect the model's performance. The dataset used in the study consists of approximately 2533 images of lemons and an empty surface, divided into training, test, and validation data, and includes images of both good and bad quality lemons under different lighting conditions. The deep learning model achieved an accuracy of 99.74% on the test dataset and outperformed traditional machine learning approaches. The developed model has the potential to improve efficiency and accuracy in lemon quality control in the agriculture and food industry. (shrink)

Poster Presentation accepted for the July 2014 conference in Bournemouth, England. -/- Abstract: Current service-quality models in the Hong Kong fast-food restaurant (HK FFR) industry are primarily designed on the basis of fast service and standardised fast-food service process that are expected to enhance customer retention. This study explores the feasibility of a new service-quality (SQ) model that could offer enhanced customer satisfaction and retention in the competitive Hong Kong FFR context. A qualitative, phenomenological-interview approach incorporating the critical (...) incident technique (CIT) was used. A purposeful sample of 30 HK taxi drivers was selected due to their frequency of eating at FFRs. The taxi drivers’ FFR experiences assisted in understanding the phenomenological nature of the HK FFR context. An Employee-Centric SKIP-based (Service, Knowledge, Information, Process) SQ model emerged from the data and is presented, where SKIP SQ drives trust, perceived value and satisfaction, and then retention in turn. In contrast to traditional models that simply focus on fast service and standardised fast-food service process, this study found that current FFR SQ models are ineffective in enhancing HK FFR customers’ repurchase intentions. The findings suggest that a SKIP-based SQ model incorporating a focal point of customisation and innovativeness could improve competitive advantage in the HK FFR context. -/- . (shrink)

This study made use of descriptive correlational method of research that utilized standard questionnaires as primary data gathering tools, substantiated by extensive documentary analysis. The respondents of the study were teachers and principals of public secondary schools in the City Division of Malolos. The following null hypotheses were subjected for testing at .05 level of significance. “The transformational leadership of principals in the City Division of Malolos does not significantly affect students’ academic achievement” “The quality of school learning (...) environment in the City Division of Malolos does not significantly affect students’ academic achievement”. School principals who are good transformational leaders are contributors of best possible leadership outputs that facilitate more students learning and academic achievement, likewise would help teachers to become more productive in practicing their teaching professions as committed member of school organization. The very good quality of school learning environment in the City Division of Malolos can be a springboard to the achievement of 21st century classroom experience. Principals’ transformational leadership significantly influences the academic achievement of students in English, Math, and Science. The quality of school learning environment significantly influences the academic achievement of students in English, Math, and Science. Implications drawn from the findings of the study are good insights that may be used in further improving the quality academic achievement of students in public secondary schools. (shrink)

Biological ontologies are used to organize, curate, and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies Foundry was created to address this by facilitating the development, harmonization, application, and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was that (...) the OBO principles were not originally encoded in a precise fashion, and interpretation was subjective. Here we show how we have addressed this by formally encoding the OBO principles as operational rules and implementing a suite of automated validation checks and a dashboard for objectively evaluating each ontology’s compliance with each principle. This entailed a substantial effort to curate metadata across all ontologies and to coordinate with individual stakeholders. We have applied these checks across the full OBO suite of ontologies, revealing areas where individual ontologies require changes to conform to our principles. Our work demonstrates how a sizable federated community can be organized and evaluated on objective criteria that help improve overall quality and interoperability, which is vital for the sustenance of the OBO project and towards the overall goals of making data FAIR. Competing Interest StatementThe authors have declared no competing interest. (shrink)

Air pollution is a significant environmental concern that affects human health, ecosystems, and climate change. Effective monitoring and management of outdoor air quality are crucial for mitigating its adverse effects. This paper presents an advanced approach to outdoor pollution measurement utilizing Internet of Things (IoT) technology, combined with optimization techniques to enhance system efficiency and data accuracy. The proposed framework integrates a network of IoT sensors that continuously monitor various air pollutants, such as particulate matter (PM), carbon monoxide (...) (CO), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and ozone (O₃), across different geographic locations. The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. (shrink)

The aim of this paper is to explore the relationship between online flow, also called optimal experience, perceived quality of a restaurant e-commerce website, and customer’s purchase intention. First, we reviewed flow, perceived quality, and purchase intention studies in the literature, and proposed a conceptual model of the hypothesized relationships between our variables. Afterwards, we identified in the literature measuring methods and scales for online flow, perceived quality and customer’s purchase intention, and ran a reliability analysis. In (...) order to study the relationship between the variables from our conceptual model, we used a qvasi-experimental design. The first phase of our study consisted in selecting a restaurant e-commerce website and establishing a task scenario. Second phase involved data collection. We sent 3200 emails containing an invitation to participate to study, through an email marketing platform. The sample used was nonprobabilistic. The opening rate of emails containing the invitation was 28.5%, with 8% click rate on the link to participate to our study. At the end of this second phase, July 15, 2014, we received 210 answers, thereof 132 were valid. Multiple regression analyses were conducted to assess each component of the proposed mediation model. Results of the mediation analysis confirmed the mediating role of the perceived quality of an e-commerce website in the relation between online flow and online purchase intention. Finally, we discuss conclusions and limitations of our study. (shrink)

Abstract: Leadership quality is treated as both a specialized role and a social influence process and today’s business environment requires executives who are able to operate on a global scale. Talent development includes mobility between business units domestically and abroad. It is essential that job shifts and production structure be fundamentally aligned because developing large pool of talent could lead to oversupply and the developed team would simply have no place to go. The study was focused to establish effects (...) of talent development practices on leadership quality of financial sector regulatory institutions in Kenya through explanatory and cross-sectional survey design. A total population of 636 employees in the six financial sector regulatory institutions in Kenya were targeted. Stratified random sampling was embraced thus deriving 127 employees as the sample population. Both primary and secondary data was used where Primary data was collected using questionnaires which was analysed used SPSS software and presented as percentages, frequencies, means, charts and standard deviations. The study established that employee assessment, employee sourcing, leadership grooming and employee development programmes affect leadership quality. Human resource department needs to step up and play a critical role on employees’ talent development. There is need for management to have employee assessment on regular basis as this will help in identifying the skills they have and those they require, hence improving leadership quality. Over and above, the management need to have clear policies on employee assessment, sourcing, development and leadership grooming with an aim of improving. (shrink)

About thirty years ago, when the Internet started to be commercialised, access to the medium became a topic of research and debate. Up-to-date evidence about key predictors, such as age, is crucial because of the Internet's ever-changing nature and the challenges associated with gaining access to it. This paper aims to give an overview of New Zealand's Internet access trends and how they relate to age. It is based on secondary analysis of data from a larger online panel survey (...) with 1,001 adult respondents. The Chi-square test of independence and Cramer's V were used in the analysis. The study provides new evidence to understand the digital divide. Specifically, it uncovers a growing disparity in the quality of Internet connectivity. Even though fibre is the most common type of broadband connection at home, older adults are less likely to have it and more likely to use wireless broadband, which is a slower connection type. Additionally, a sizable majority of people in all age categories have favourable opinions on the Internet. Interestingly, this was more prevalent among older people, although they report an increased concern about the security of their personal information online. The implications of the results are discussed and some directions for future research are proposed. (shrink)