SME’s Performance Through Comparative Performance Indicators, Measured by Business Statistics- Albania Case

2017 ◽  
Vol 9 (1) ◽  
pp. 361
Author(s):  
Godiva Rembeci
Keyword(s):  
Economic Performance ◽  
National Economy ◽  
Performance Indicators ◽  
Future Research ◽  
Productivity Measurement ◽  
Comparative Performance ◽  
Global Consensus ◽  
Research Activities ◽  
Business Statistics ◽  
National Economies

Now days there is a global consensus among all stakeholders that SMEs represent a driving force to the overall economic development, due to their significant contribution both on GDP and employment of national economies. SMEs also by numbers dominate the world business stage, although their contribution does vary among the countries. SMEs in Albania represents about 98% of the total enterprises with a contribution to national GDP for about 70%. The structure and the performance of national economy is depended very much on the economic performance and contribution of SME, that’s why most of the governments have strategic programmes which support the SME’s development. To measure SMEs’ performance and their ability to compete on national and international markets requires a lot of information in all aspects. Through this paper the author aims to measure and analyze the economic performance of SMEs operating in Albania. To achieve this objective, official data on business statistics published by national the statistical office (INSTAT) are used for two years period 2014-2015. In addition using an international framework addressed to the objective “improve the techniques for SMEs productivity measurement”, for the first time, a set of comparative performance indicators is established and in doing so, those results can be used as term of reference in future research activities in SMEs sector. From the results it came out that although the positive growth rate of GDP during the last years , the performance indicators of SMEs show a slightly negative trend, indicating indirectly the need for support, in order to empower their contribution in national economy.

scholarly journals Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Manan Binth Taj Noor ◽  
Nusrat Zerin Zenia ◽  
M Shamim Kaiser ◽  
Shamim Al Mamun ◽  
Mufti Mahmud
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Neurological Disorders ◽  
Magnetic Resonance Images ◽  
Future Research ◽  
Comparative Performance

Abstract Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during the last couple of decades. These cutting-edge MRI scans, supported by high-performance computational tools and novel ML techniques, have opened up possibilities to unprecedentedly identify neurological disorders. However, similarities in disease phenotypes make it very difficult to detect such disorders accurately from the acquired neuroimaging data. This article critically examines and compares performances of the existing deep learning (DL)-based methods to detect neurological disorders—focusing on Alzheimer’s disease, Parkinson’s disease and schizophrenia—from MRI data acquired using different modalities including functional and structural MRI. The comparative performance analysis of various DL architectures across different disorders and imaging modalities suggests that the Convolutional Neural Network outperforms other methods in detecting neurological disorders. Towards the end, a number of current research challenges are indicated and some possible future research directions are provided.

scholarly journals Local Anesthetics and Recurrence after Cancer Surgery-What’s New? A Narrative Review

2021 ◽  
Vol 10 (4) ◽  
pp. 719
Author(s):  
Sarah D. Müller ◽  
Jonathan S. H. Ziegler ◽  
Tobias Piegeler
Keyword(s):  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Local Anesthetics ◽  
Experimental Studies ◽  
Perioperative Period ◽  
Cancer Surgery ◽  
Narrative Review ◽  
Future Research ◽  
Inflammatory Stress ◽  
Research Activities

The perioperative use of regional anesthesia and local anesthetics is part of almost every anesthesiologist’s daily clinical practice. Retrospective analyses and results from experimental studies pointed towards a potential beneficial effect of the local anesthetics regarding outcome—i.e., overall and/or recurrence-free survival—in patients undergoing cancer surgery. The perioperative period, where the anesthesiologist is responsible for the patients, might be crucial for the further course of the disease, as circulating tumor cells (shed from the primary tumor into the patient’s bloodstream) might form new micro-metastases independent of complete tumor removal. Due to their strong anti-inflammatory properties, local anesthetics might have a certain impact on these circulating tumor cells, either via direct or indirect measures, for example via blunting the inflammatory stress response as induced by the surgical stimulus. This narrative review highlights the foundation of these principles, features recent experimental and clinical data and provides an outlook regarding current and potential future research activities.

Modeling of Piezo-Actuated Stick-Slip Micro-Drives: An Overview

2012 ◽  
Vol 81 ◽  
pp. 39-48 ◽  
Author(s):  
Ha Xuan Nguyen ◽  
Christoph Edeler ◽  
Sergej Fatikow
Keyword(s):  
Mechanical Model ◽  
Integrated Model ◽  
Friction Model ◽  
Fundamental Importance ◽  
Future Research ◽  
Stick Slip ◽  
Research Activities ◽  
Model Combining ◽  
Friction Models

This paper gives an overview about problems of modeling of piezo-actuated stick-slip micro-drives. It has been found that existing prototypes of such devices have been investigated empirically. There is only few research dealing with the theory behind this kind of drives. By analyzing the current research activities in this field, it is believed that the model of the drive depends strongly on the friction models, but in most cases neglecting any influences of the guilding system.These analyses are of fundamental importance for an integrated model combining friction model and mechanical model offering promising possibilities for future research.

Digital competences of the workforce – a research topic?

2017 ◽  
Vol 23 (3) ◽  
pp. 721-734 ◽  
Author(s):  
Matthias Murawski ◽  
Markus Bick
Keyword(s):  
Research Topic ◽  
Future Research ◽  
Digital Competence ◽  
Content Type ◽  
Research Activities ◽  
Starting Point ◽  
Pros And Cons ◽  
Definition Of ◽  
The Individual ◽  
Practical Implications

Purpose Considering working in the digital age, questions on the consequences for the individual workers are, so far, often neglected. The purpose of this paper is to deal with the question of whether the digital competences of the workforce is a research topic. The authors argue for the thesis that it is indeed a research topic. Design/methodology/approach In addition to a literature analysis of the top IS, HR, and learning publications, non-scientific sources, as well as the opinions of the authors, are included. The authors’ thesis is challenged through a debate of corresponding pros and cons. Findings The definition of digital competences lacks scientific depth. Focussing on the workforce is valid, as a “lifelong” perspective is not mandatory for research. Digital competence research is a multidisciplinary task to which the IS field can make a valuable contribution. Research limitations/implications Although relevant references are included, some aspects are mainly driven by the opinions of the authors. The theoretical implications encompass a call for a scientific definition of digital competences. Furthermore, scholars should focus on the competences of the workforce, including occupations, roles, or industries. The authors conclude by providing a first proposal of a research agenda. Practical implications The practical implications include the alignment of multiple stakeholders for the design of “digital” curricula and the integration by HR departments of the construct of digital competences, e.g. for compensation matters and job requirements. Originality/value This paper is one of very few contributions in the area of the digital competences of the workforce, and it presents a starting point for future research activities.

Measurements of workplace productivity in the office context: A systematic review and current industry insights

2021 ◽  
Author(s):  
B. Bortoluzzi ◽  
D. Carey ◽  
J.J. McArthur ◽  
C. Menassa
Keyword(s):  
Systematic Review ◽  
Performance Indicators ◽  
Knowledge Worker ◽  
Key Performance Indicators ◽  
Expert Interviews ◽  
Structured Interviews ◽  
Productivity Measurement ◽  
The Past ◽  
Workplace Productivity ◽  
Comprehensive Survey

Purpose – The aim of this paper is to present a comprehensive survey of workplace productivity key performance indicators used in the office context. Academic literature from the past ten years is systematically reviewed and contextualized through a series of expert interviews. Design/methodology/approach – The authors present a systematic review of literature to identify Key Performance Indicators (KPIs) and methods of workplace productivity measurement, complemented by insights semi-structured interviews to inform a framework for a benchmarking tool. 513 papers published since 2007 were considered, of which 98 full-length papers were reviewed, and 20 were found to provide significant insight and are summarized herein. Findings – Currently, no consensus exists on a single KPI suitable for measuring workplace productivity in an office environment, though qualitative questionnaires are more widely adopted than quantitative tools. The diversity of KPIs used in published studies indicates that a multidimensional approach would be most appropriate for knowledge-worker productivity measurement. Expert interviews further highlighted a shift from infrequent, detailed evaluation to frequent, simplified reporting across human resource functions and this context is important for future tool development. Originality/value – This paper provides a summary of significant work on workplace productivity measurement and KPI development over the past ten years. This follows up on the comprehensive review by B. Haynes (2007a), providing an updated perspective on research in this field with additional insights from expert interviews.

Does social reporting matter? Empirical evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adel Sarea ◽  
Monsurat Ayojimi Salami
Keyword(s):  
Performance Indicators ◽  
Voluntary Disclosure ◽  
Financial Institution ◽  
Negative Relationship ◽  
Social Reporting ◽  
Future Research ◽  
Islamic Banking ◽  
Cross Sectional ◽  
Content Type ◽  
Gcc Countries

Purpose This paper aims to examine the level of Islamic social reporting (ISR) disclosure of Islamic banking in Gulf Cooperative Council (GCC) countries using a checklist based on Accounting and Auditing Organization for Islamic Financial Institution (AAOIFI) standards. Design/methodology/approach A quantitative method – Tobit Model – is adopted in this study. The unweighted disclosure method used to measure the ISR disclosure checklist consist of 51 items in Islamic banks (IBs) in the GCC countries. The stakeholder theory and legitimacy theory are used to investigate the possible banking performance factors affecting the accounting practices such as ISR disclosure in IBs. Findings The findings show that the ISR disclosure index is linked to the IBs’ performance indicators in GCC countries. The result indicates both Islamic banking profitability and age establish positive and statistically significant relationship with ISR disclosure while leverage establishes significant negative relationship with ISR disclosure. This implies that Islamic banking profitability, leverage, and age are essential bank performance indicators that make ISR disclosure worthy of doing even in the presence of Islamic bank stakeholders in GCC countries. This finding linked compliance with the mandatory disclosure recommendations of AAOIFI Standard No. 7, as well as voluntary disclosure. Research limitations/implications This study used cross sectional data for the year 2019, which is considered more recent despite its being a year data analysis. However, future research should consider mix method as well as more analysis tools provided their number of observations are sufficient enough. Social implications The study identifies the factors that may enhance Islamic financial institutions, including Islamic banking in GCC countries, to comply with ISR disclosure. The application of this study supports Accounting standards setters to consider standards that support ISR disclosure in Islamic banking in different countries. Originality/value To the best of the authors’ knowledge, this study is novel in exploring the level of ISR disclosure in Islamic banking in GCC countries by using a checklist based on AAOIFI standard No. 7 and establishes the relationship between ISR disclosure index and IBs profitability, leverage, as well as age of Islamic banking in operation.

Business process model patterns: state-of-the-art, research classification and taxonomy

2019 ◽  
Vol 25 (5) ◽  
pp. 972-994 ◽  
Author(s):  
Michael Fellmann ◽  
Agnes Koschmider ◽  
Ralf Laue ◽  
Andreas Schoknecht ◽  
Arthur Vetter
Keyword(s):  
Business Process ◽  
Process Model ◽  
Pattern Language ◽  
Future Research ◽  
Business Process Model ◽  
Content Type ◽  
Research Activities ◽  
Starting Point ◽  
Research Classification

Purpose Patterns have proven to be useful for documenting general reusable solutions to a commonly occurring problem. In recent years, several different business process management (BPM)-related patterns have been published. Despite the large number of publications on this subject, there is no work that provides a comprehensive overview and categorization of the published business process model patterns. The purpose of this paper is to close this gap by providing a taxonomy of patterns as well as a classification of 89 research works. Design/methodology/approach The authors analyzed 280 research articles following a structured iterative procedure inspired by the method for taxonomy development from Nickerson et al. (2013). Using deductive and inductive reasoning processes embedded in concurrent as well as joint research activities, the authors created a taxonomy of patterns as well as a classification of 89 research works. Findings In general, the findings extend the current understanding of BPM patterns. The authors identify pattern categories that are highly populated with research works as well as categories that have received far less attention such as risk and security, the ecological perspective and process architecture. Further, the analysis shows that there is not yet an overarching pattern language for business process model patterns. The insights can be used as starting point for developing such a pattern language. Originality/value Up to now, no comprehensive pattern taxonomy and research classification exists. The taxonomy and classification are useful for searching pattern works which is also supported by an accompanying website complementing the work. In regard to future research and publications on patterns, the authors derive recommendations regarding the content and structure of pattern publications.

A Twin Register for Eye Studies and Need for Collaboration

1970 ◽  
Vol 19 (1-2) ◽  
pp. 344-348 ◽  
Author(s):  
J. T. Schwartz
Keyword(s):  
Clinical Examination ◽  
National Institutes Of Health ◽  
Future Research ◽  
Base Line ◽  
Future Studies ◽  
Research Activities ◽  
Eye Examination ◽  
Effective Collaboration

This twin register was organized as a resource for studies on the eye. It has been possible to share this resource with other disciplines through effective collaboration. Conversely, only through the assistance of other investigators who are working with twins, will it be practical to undertake certain studies which are important in ophthalmology. The purpose of this presentation is to convey a description of our register and some of its limitations, and to specify the need for collaboration with others.The original purpose in assembling this register was to identify a group of twins readily available for multiple clinical examinations. Since the first examining facility was to be located near the National Institutes of Health, practical considerations required that twin residence be limited to the metropolitan Washington, D. C. area. Twins of all ages were included in the register, since proposed investigations pertained to different age categories. No effort was made to select twins through randomization procedures; all twins who were identified were invited to membership in the register. A variety of methods were used to locate twins, including contact with schools and clubs, but the largest proportion of registrants were recommended by other twins.Twins were offered a thorough eye examination, along with the solicitation of their interest in participating in future research activities. The clinical examination was offered for the following reasons:1) To encourage informed interest in proposed future investigations by acquainting the twins with our facility and purpose;2) To perform base-line observations, so as to identify and enumerate ocular characteristics as an aid in selecting subsets of twins for future studies;3) To obtain data for possible estimates of heritability of selected ocular characteristics.

scholarly journals The Impact of Big Data Adoption on SMEs’ Performance

2021 ◽  
Vol 5 (4) ◽  
pp. 68
Author(s):  
Mahdi Nasrollahi ◽  
Javaneh Ramezani ◽  
Mahmoud Sadraei
Keyword(s):  
Big Data ◽  
Economic Performance ◽  
Structural Equation ◽  
Information Technologies ◽  
Social Performance ◽  
Empirical Studies ◽  
Research Area ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analyzed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data (BD) components to improve their performance becomes a relevant research area. This issue is becoming more pertinent for small and medium enterprises (SMEs), especially in developing countries that encounter limited resources and infrastructures. Due to the lack of empirical studies related to big data adoption (BDA) and BD’s business value, especially in SMEs, this study investigates the impact of BDA on SMEs’ performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a structural equation modeling (SEM) methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance. There has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research suggestions, as well as some limitations and unanswered questions.

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