scholarly journals Decision Factors behind Cisco Networking Hardware Acceptance in Business Environments

2021 ◽  
Vol 16 (4) ◽  
pp. 1097-1119
Author(s):  
Piotr Ostrowski ◽  
Stanislaw Wrycza ◽  
Damian Gajda ◽  
Bartosz Marcinkowski
Keyword(s):  
Structural Equation ◽  
Professional Training ◽  
Computer Network ◽  
Added Value ◽  
Domain Specific ◽  
Decision Factors ◽  
Business Environments ◽  
Specific Factors ◽  
Network Administrators ◽  
Network Component

Networking hardware might be considered a relatively unexposed enabler of the enormous success of the modern digital economy, and information technology of a global reach. The COVID-19 traffic spike across e-commerce portals puts further pressure on computer network component vendors and raises the bar regarding both performance and reliability. Therefore, the authors undertake a challenge of identifying factors influencing the level of Cisco switches acceptance among network administrators in business environments. To achieve that, Structural Equation Modelling is introduced. The feedback gathered from 205 study contributors enabled the authors to evaluate the significance of two domain-specific factors—Technological Innovation (TI) and Availability of Professional Training (APT). The APT was confirmed to have a significant impact on networking hardware acceptance. The study contributes to extending the decision-making rationale regarding the procurement of networking switches and shows the added value of technology-oriented professional training for job satisfaction and working efficiency.

Domain-Specificity of Need for Cognition Among High School Students

2019 ◽  
Vol 35 (5) ◽  
pp. 607-616 ◽  
Author(s):  
Ulrich Keller ◽  
Anja Strobel ◽  
Romain Martin ◽  
Franzis Preckel
Keyword(s):  
High School Students ◽  
Structural Equation ◽  
Factor Model ◽  
Need For Cognition ◽  
Self Concept ◽  
Equation Modeling ◽  
Specific Factor ◽  
General Factor ◽  
Domain Specific ◽  
Specific Factors

Abstract. Need for Cognition (NFC) is increasingly investigated in educational research. In contrast to other noncognitive constructs in this area, such as academic self-concept and interest, NFC has consistently been conceptualized as domain-general. We employed structural equation modeling to address the question of whether NFC can be meaningfully and gainfully conceptualized as domain-specific. To this end, we developed a domain-specific 20-item NFC scale with parallel items for Science, Mathematics, German, and French. Additionally, domain-general NFC was assessed with five domain-general items. Using a cross-sectional sample of more than 4,500 Luxembourgish 9th graders, we found that a nested-factor model incorporating both a general factor and domain-specific factors better accounted for the data than a single-factor or a correlated-factor model. However, the influence of the general factor was markedly stronger than in corresponding models for academic self-concept and interest. When controlling for the domain-specific factors, only Mathematics achievement was significantly predicted by the domain-general factor, while all achievement measures (Mathematics, French, and German) were predicted by the corresponding domain-specific factor. The nested domain-specific NFC factors were clearly empirically distinguishable from first-order domain-specific interest factors.

Separating Common from Unique Variance Within Emotional Distress: An Examination of Reliability and Relations to Worry

2018 ◽  
Vol 46 (5) ◽  
pp. 633-638 ◽  
Author(s):  
Andrew J. Marshall ◽  
Emma K. Evanovich ◽  
Sarah Jo David ◽  
Gregory H. Mumma
Keyword(s):  
Emotional Disorders ◽  
Emotional Distress ◽  
Structural Equation ◽  
Community Sample ◽  
Bifactor Model ◽  
Domain Specific ◽  
Unique Method ◽  
Specific Factors ◽  
Transdiagnostic Factors ◽  
Item Scores

Background: High comorbidity rates among emotional disorders have led researchers to examine transdiagnostic factors that may contribute to shared psychopathology. Bifactor models provide a unique method for examining transdiagnostic variables by modelling the common and unique factors within measures. Previous findings suggest that the bifactor model of the Depression Anxiety and Stress Scale (DASS) may provide a method for examining transdiagnostic factors within emotional disorders. Aims: This study aimed to replicate the bifactor model of the DASS, a multidimensional measure of psychological distress, within a US adult sample and provide initial estimates of the reliability of the general and domain-specific factors. Furthermore, this study hypothesized that Worry, a theorized transdiagnostic variable, would show stronger relations to general emotional distress than domain-specific subscales. Method: Confirmatory factor analysis was used to evaluate the bifactor model structure of the DASS in 456 US adult participants (279 females and 177 males, mean age 35.9 years) recruited online. Results: The DASS bifactor model fitted well (CFI = 0.98; RMSEA = 0.05). The General Emotional Distress factor accounted for most of the reliable variance in item scores. Domain-specific subscales accounted for modest portions of reliable variance in items after accounting for the general scale. Finally, structural equation modelling indicated that Worry was strongly predicted by the General Emotional Distress factor. Conclusions: The DASS bifactor model is generalizable to a US community sample and General Emotional Distress, but not domain-specific factors, strongly predict the transdiagnostic variable Worry.

scholarly journals How does the grade obtained at school for English and Mathematics affect the probability of graduation at a university?

Pythagoras ◽  
2017 ◽  
Vol 38 (1) ◽  
Author(s):  
Michael Murray
Keyword(s):  
Structural Equation ◽  
Equation Model ◽  
Mathematical Literacy ◽  
Percentage Point Increase ◽  
Point Increase ◽  
Kwazulu Natal ◽  
Specific Factors ◽  
And Mathematics ◽  
The University ◽  
Better Than

Over half of all students enrolling at a particular university in KwaZulu-Natal fail to complete a degree. This article is wanting to determine to what extent the marks they obtain for English and Mathematics at school impact on their probability of graduation at this university. In addressing this problem, other student specific factors associated with their gender, race and the type of school they have attended need also to be properly accounted for. To provide answers for this study, the performance of 24 392 students enrolling at the university over the period 2004 to 2012 was followed until they graduated or dropped out from their studies. A structural equation model was fitted because it allows one to separate a direct effect from that of an indirect effect. Gender, race and school background were found to be very significant with males, Black Africans and students coming from a less privileged school background having a smaller probability associated with eventually graduating from this university. Males tend to perform better than females in Mathematics, with females performing better males in English. More importantly, however, a single percentage point increase in one’s mark for English increases the probability associated with graduating from this university far more than would be the case if their Mathematics mark were to increase by a single percentage point. In the light of these mediated results, perhaps this university should be directing their efforts more towards improving the English (rather than mathematical) literacy of students entering the university.

Network Security System Implementation Using Raspberry Pi-Based Random Port Knocking Sent Via Telegram

2018 ◽  
Vol 7 (2) ◽  
pp. 61-67
Author(s):  
Iga Revva Princiss Jeinever
Keyword(s):  
High Risk ◽  
Network Security ◽  
Computer Networks ◽  
Computer Network ◽  
Security System ◽  
Raspberry Pi ◽  
System Implementation ◽  
The Right ◽  
Network Administrators ◽  
Ip Block

Computer networks are basically not safe to access freely. Security gaps in the network can be seen by irresponsible people with various techniques. Opening a port for access carries a high risk of being attacked by an attacker. In this connection, network administrators are required to work more to be able to secure the computer network they manage. One form of network security that is often used by network administrators in server management is through remote login such as ports on telnet, SSH, etc. A port that is always open is a network security hole that can be used by people who are not responsible for logging into the server. Focusing on these problems, in this study, Random Port Knocking is the right way and can be used to increase network security. With Random Port Knocking, the port will be opened as needed, the port will automatically change when it fails to log in more than three times and IP will automatically be blocked and access will not continue so that attacks on the network can be avoided and network security stability can be further improved. The final result of this research shows that the method applied in this research makes server safe. Because port randomization and IP block make irresponsible parties try harder to penetrate firewall walls.

scholarly journals Impact of Service Quality and Service Innovations on Competitive Advantage in Retailing

2019 ◽  
Vol 2 (2) ◽  
pp. 366-374
Author(s):  
R. Neni Kusumadewi ◽  
Otong Karyono
Keyword(s):  
Service Quality ◽  
Competitive Advantage ◽  
Random Sampling ◽  
Structural Equation ◽  
Industrial Revolution ◽  
Sampling Technique ◽  
Added Value ◽  
Equation Modeling ◽  
Stratified Random Sampling ◽  
Analysis Method

Current competitive environment induced by 4.0 industrial revolution has forced companies to focus on managing service to customer by provide added value to customers, so that it will increase competitiveness. This study aims to find out and analyze impact of service quality and service innovations on competitive advantage. Analysis method is descriptive statistical and Structural Equation Modeling with AMOS software. The sampling Technique was purposive sampling with combination cluster proportional stratified random sampling, the instrument to collect the data was questionnaire with manager, supervisor or employee of retailing. The results indicate that the service quality and service innovations impact on competitive advantage.

scholarly journals THE IMPACT OF COMPETITIVE INTELLIGENCE ACQUISITION AND UTILIZATION ON HOTELS' PERFORMANCE: EVIDENCE FROM MALAYSIA

2021 ◽  
Vol 6 (26) ◽  
pp. 01-26
Author(s):  
Akram Mufareh Alshammakh ◽  
Adi Anuar Azmin
Keyword(s):  
Structural Equation ◽  
Quantitative Research ◽  
Hotel Industry ◽  
Competitive Intelligence ◽  
Trade Associations ◽  
Marketing Managers ◽  
Business Environments ◽  
Emerging Trends ◽  
The Impact ◽  
The Relationship

Acquisition and frequency utilisation of Competitive Intelligence (CI) are critical strategic activities designed to assist firms in evaluating emerging trends in their business environments, major and potential threats, capabilities, and competitions for businesses today, particularly in the tourism and hotel sectors. However, there is still ambiguity about the impact of competitive-intelligence acquisition (CIA) and utilisation (CIU) on firms' performance, particularly for the hotel industry in a developing country such as Malaysia. Thus, the purposes of this research are to define the nature of CI practice in Malaysian hotels, and to illustrate the relative importance of various CIA types and sources to marketing managers in Malaysian hotels, moreover, to investigate the impact of CIA and CIU on the financial and non-financial performance of Malaysian hotels. A quantitative research design was adopted in this study. To obtain the necessary data for analysing the hypothesised model of the study, 505 questionnaires were issued to marketing managers in member hotels of the Malaysian Association of Hotels (MAH), and a total of 184 analyzable questionnaires were gathered, with a response rate of 34.44%. The research data were analysed using partial least squares structural equation modelling and statistical package for social sciences "SPSS". Despite that half of the responding hotels practiced CI informally, and many of these hotels began practicing CI five years ago, the study found that hotel marketing managers have high and medium interest levels for most types and sources of CI in Malaysia, these five CIA's types were the most important: (1) competitors, (2) customers, (3) human resources, (4) socio-cultural, and (5) Global. As well, these five CIA's sources were the most important: the internet and extranets, (2) customers, (3) electronic information services/intranets, (4) business associates, and (5) newspapers and periodicals, and industry trade associations. Furthermore, the results indicate that CIA and CIU had a positive and significant impact on hotels' performance, but CIU has the most effect. These findings enrich those in positions of power like owners, managers, and practitioners, as well as academicians, with greater knowledge of the relationship and influence of CIA and CIU on firms' performance, particularly for hospitality and tourism firms.

scholarly journals Domain-general factors influencing numerical and arithmetic processing

2017 ◽  
Vol 3 (2) ◽  
pp. 112-132 ◽  
Author(s):  
André Knops ◽  
Hans-Christoph Nuerk ◽  
Silke M. Göbel
Keyword(s):  
Numerical Cognition ◽  
Model Building ◽  
Number System ◽  
Special Issue ◽  
Domain Specific ◽  
Versus Domain ◽  
Specific Factors ◽  
Arithmetic Performance ◽  
General Aspects ◽  
Future Theory

This special issue contains 18 articles that address the question how numerical processes interact with domain-general factors. We start the editorial with a discussion of how to define domain-general versus domain-specific factors and then discuss the contributions to this special issue grouped into two core numerical domains that are subject to domain-general influences (see Figure 1). The first group of contributions addresses the question how numbers interact with spatial factors. The second group of contributions is concerned with factors that determine and predict arithmetic understanding, performance and development. This special issue shows that domain-general (Table 1a) as well as domain-specific (Table 1b) abilities influence numerical and arithmetic performance virtually at all levels and make it clear that for the field of numerical cognition a sole focus on one or several domain-specific factors like the approximate number system or spatial-numerical associations is not sufficient. Vice versa, in most studies that included domain-general and domain-specific variables, domain-specific numerical variables predicted arithmetic performance above and beyond domain-general variables. Therefore, a sole focus on domain-general aspects such as, for example, working memory, to explain, predict and foster arithmetic learning is also not sufficient. Based on the articles in this special issue we conclude that both domain-general and domain-specific factors contribute to numerical cognition. But the how, why and when of their contribution still needs to be better understood. We hope that this special issue may be helpful to readers in constraining future theory and model building about the interplay of domain-specific and domain-general factors.

Improving competitiveness in education institutes – ABC’s neglected potential

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John Sorros ◽  
Petros Lois ◽  
Melita Charitou ◽  
Alkiviadis Theofanis Karagiorgos ◽  
Nicholas Belesis
Keyword(s):  
Customer Value ◽  
Structural Equation ◽  
Cost Allocation ◽  
Added Value ◽  
Equation Modeling ◽  
Educational Institutions ◽  
Resource Exploitation ◽  
Content Type ◽  
Cost Strategy

Purpose Because of the education sector’s evolution, accounting initiatives are required regarding competitiveness. Activity-based costing’s (ABC) neglected potential as a cost strategic tool initiated this research, which aims to identify administrative and operational factors that support or hinder its implementation in educational institutions as a predictor of competitiveness. Design/methodology/approach A theoretical model was proposed and tested through structural equation modeling to identify relationships between accounting departments, cost procedures, the transmissibility of information and competitiveness. Using quantitative and qualitative methods, a scale of items was derived, denoting an institute’s cost strategy and ABC implementations and returned from 417 Greek education institutes. Findings An accounting department’s role in accurate data transmissibility and an institution’s organizational structure significantly affect cost-related competitiveness. The importance of information sharing is strengthened by current cost allocation capabilities and the accounting department’s influence on management. Research limitations/implications ABC’s limited implementation in the Greek education sector complicated the theoretical model’s construction, as a variety of geographical and institutional factors were taken into consideration. Practical implications Customer value provides a competitive advantage and constitutes the basis of solid price strategies. Research demonstrates ABC’s importance for education institutions’ competitiveness and resource exploitation. Social implications Education’s commercialization urges costing strategy prioritization. ABC could benefit competitiveness and attract long-term funds and investments. To create value institutions, the allocation of incurred costs to added-value activities is crucial. Originality/value This study sheds light on vague issues institutions face when dealing with ABC. Understanding accounting departments’ influence shows ABC’s feasibility even for smaller or less efficiency-oriented education institutions.

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