Reputation Factor Research Articles

Corporate Bankruptcy Prediction Model for Internet Startup Companies

The purpose of this paper is to present a new approach to developing a financial distress prediction model that analyzes factors affecting success or failure of dot-com companies. In a new model, both demand side and supply side categories account for the performance of firms following IPOs. Huyghebaert et al. (2000) and Lewis et al. (2000) serve as a framework for the new model. This research uses a multiple discriminant analysis to build the proposed model. The demand side category includes an underwriter reputation factor and a market condition factor, while the supply side category includes a funds flow factor. The statistical results show that independent variables such as Gross Profit Margins, Cash Flows, Receivables, Accounts Payables, and Market Value are significant whereas Stock Holders’ Equities, Dividends, Capital Expenditures, and Inventories are insignificant.

A Game Theory-Based Strategic Approach to Ensure Reliable Data Transmission With Optimized Network Operations in Futuristic Mobile Adhoc Networks

The Mobile Ad-Hoc Network (MANET) incorporates a collaborative networking scenario, where dynamic host movement results in frequent topology changes. In MANET, nodes cooperate during route establishment, and the data packet must travel from source to destination through multi-hop intermediate links. The nodes in a MANET can be localized in a restricted zone, where manual intervention to set-up fixed infrastructural support is practically infeasible. However, cooperative packet forwarding and data transmission is quite a common scenario in the context of MANET. Still, due to dynamic topological changes, weak, intermittent links appear within one-hop communication. This leads to a higher possibility of packet drop events and also increases the retransmission scenario, which affects the energy performance of the network. Addressing this issue, the study models a novel and intelligent packet forwarding approach based on the game theory, where trust evaluation in terms of node reputation factor also plays a very vital role. The approach also enforces an incentive modelling to stimulate the cooperation between mobile nodes during the MANET routing scenario. The system is designed and developed with evolutionary game perspectives to meet the Quality of Services (QoS) requirements. The experimental analysis supports the proposed modelling design aspects. Also, it exhibits that the reputation and trust-based game increases the utility of packet-forwarding strategy with high throughput and negligible network overhead.

유명인 패션 핫 아이템 구매요인 및 소비자유형별 구매특성

The aim of this study is to investigate the characteristics of consumer behavior on celebrity fashion hot items. For this purpose, the study surveyed male and female consumers in their 20s～30s for empirical analysis in July 2018. The study surveyed 305 male and female consumers who were selected through online convenience sampling. Data were analyzed using SPSS for Windows 19.0 and descriptive statistics, reliability analysis, factor analysis, ANOVA analysis, cluster analysis, Duncan test, and t-test. The results were as follows. First, consumers’ product interest, brand favorability, purchase intention, and recommendation intention concerning celebrity fashion hot items were averaged below 3.0. Consumers tended to show higher purchase intentions and interest in celebrity hot items as monthly spending on fashion goods increased. The consumer’s recommendation intention tended to be higher when the consumer had higher income and higher spending on fashion goods. Second, consumers’ celebrity hot items purchasing factors were celebrity factor, consumer factor, product factor, and surrounding reputation factor. Consumers in their 30s were more likely to consider celebrity factor, consumer factor, and product factor than those in their 20s. Factors that had significant influence on celebrity fashion hot items purchasing intention were celebrity factor and consumer factor. Third, consumer types that purchased celebrity fashion hot items consisted of consumers who considered image improvement, consumers who considered surrounding reputation, consumers who loved and followed celebrity, and consumers who had no interest. Among these types, consumers who loved and followed celebrity had the highest product interest, brand favorability, purchase intention and recommendation intention. This study will provide information about consumer characteristics that are applicable to fashion enterprises that utilize celebrity effect.

IMPORTANCE OF ENVIRONMENTAL AND PUBLIC HEALTH ACTIVITIES FOR CORPORATE REPUTATION

Various studies and scientific papers have been published on the topic of Corporate Reputation focusing on different aspects of it and the importance it represents for organizations as an intangible resource. In this paper we attempt to analyze the importance of Corporate Social Responsibility (CSR) as a key factor of Corporate Reputation and Public Health. We observe a reputation change of organization, where sustained success is less determined by what is said, usually through the mass media, but more by what is done, consistent performance and keeping the brand's promise. Corporate social responsibility describes a process in which corporations integrate social and environmental strategies into their business operations and connections with the stakeholders on a voluntary basis. Social responsibility of a company can be defined as the accountability that a company has towards its consumers, workers, other stakeholders and general corporate citizenship. Universal aim of CSR is the improvement of social standards, while maintaining profitability and performance of the company. Companies that engage in CSR have the ability while creating profit, to also further advance sustainability, environmental protection, social responsibility and consumer interest. Organizations today achieve a sustained competitive advantage in the long-term by implementation of ecological models and green technologies that the public perceives as important for better health and quality of life. Corporate social responsibility is vital not just for the company’s reputation, but for environment, society, public health and future of the world.

Reputation-based secure routing protocol in mobile ad-hoc network using Jaya Cuckoo optimization

The advancements in Mobile Ad-hoc Network (MANET) are suitable to wide applications, which involve military applications, civilian domains, and disaster recovery systems. It is assumed that the nodes present in the routing protocols of MANETs are cooperative and trustworthy. This assumption makes MANET more prone to manipulation and interception, which generates several possibilities of different suspicious attacks, such as Denial of Service (DoS) attacks. Hence, security is considered as an important parameter as the network is fond of suspicious attacks. This paper addresses the security issues by proposing an optimization algorithm, named Jaya Cuckoo Search (JCS) algorithm, which is the combination of Jaya algorithm and Cuckoo Search (CS) algorithm for initiating secure route among the MANET nodes so that the path attained is feasible and secure. The proposed JCS algorithm uses a fitness function, which considers a multiobjective function using parameters, such as distance, link lifetime, delay, energy, trust, along with the reputation factor to select a secured path. The JCS algorithm shows maximum performance with energy, throughput, and PDR values as 27.826[Formula: see text]J, 0.554, and 0.628, respectively.

PENGARUH RELIGIUSITAS DAN REPUTASI TERHADAP MINAT MUZAKKI DALAM MEMBAYAR ZAKAT PROFESI (Studi Kasus di Kabupaten Ponorogo)

This study aims to analyse the factors that influence the interest of muzakki in paying zakat profession through zakat institution. The constructs used in this study are religiosity and reputation as the variables used in measuring the interest. This research was conducted in Ponorogo district. The research method used in this research is quantitative. The researcher approaches this study with survey method, in which the scale of instrument measurement used is the Likert scale as well as using purposive technique in sampling. The data analysis technique used in this research is regression analysis and the data is processed by using SPSS for windows version 20. The results of this study indicate that the factor of religiosity and reputation have a statistically significant effect on the interest of muzakki in paying zakat profession through zakat institution in Ponorogo district.

Selecting the Optimal Web Service Composition Based on QoS

The fast spread of web services in our businesses and day-to-day lives has made QoS an essential aspect for both the service providers and consumers. The main problem is how the consumer obtains a high comprehensive quality composite service when there are a large number of web services available; the choice of the optimal path depends on the QoS for every atomic service. Our contribution is studying the influence of the reputation factor in the process of selecting the optimal path in the absence of one of four factors (Availability, Reliability, Response Time, and Price) and the possibility of covering for this absence. We have used the reputation factor when calculating the QoS by using artificial bee colony algorithm for selecting the optimal web service composition; then we analyzed the impact of reputation on the process of selecting web service composition in terms of the QoS and accuracy of the solution. Also, we studied the impact of the reputation factor in the case of the absence of one of the four factors through three experiments and a set of comparisons. The result was that the reputation factor could cover factors such as availability, Response Time, and technical support. We used multiple linear regression and polynomial regression to show the prediction of the reputation factor using the four other factors. The result had higher confidence when we used multiple polynomial regression where the Residual Sum of Squares (RSS) was less than the multiple linear regression. In addition, we analyzed the association between reputation and the four other factors using ANOVA test; the result indicates that there is a significant association between reputation and (availability, response time, and price), but the association is not significant with the reliability.

SOCIAL STANDARDS IN SOCIETY AS AN INTEGRAL FACTOR OF FORMATION AND ESTIMATION OF INDIVIDUAL REPUTATION

The author sees search for formation factors and assessment criteria of valuable features of individual subjects and collective ones as one of the most important problems in investigation of reputation. Specialists in the field of game theory think that there are theoretical game models of reputation and standards; reputation is seen as a reflection about the standard activities. The paper aims at considering the social standards as a factor of reputation and as a factor of subject assessment. The author speaks that interioration of common social standards, values and behavior models take place in the period of upbringing, socialization and professional education. These activities are revealed through subject activity. When analyzing subject activity, we can make conclusions about reputation. The concept «reputation» is rather polysemantic. This allows us to review reputation as an assessment system and valuable characteristics and as a process of forming these assessment and characteristics. It appears that reputation as a process concept turns out to be the process of searching for valuable characteristics of the subjects and results of their activity. Thus, we can speak about reputation as a process of making decision what evaluation belongs to the subject activity. The paper shows that compliance or incompliance of subject activity is assessed by means of common social standards and valuable preferences of the evaluator and it is the basic factor for making decision in concerns of reputation.

Assessment of Factors Influencing Strategic Management of Commercial Banks in Vietnam: An Empirical Study in the Bank for Investment and Development of Vietnam

This research article reviewed related literatures on strategic management of commercial banks; proposed the research model and measured the impact of factors on strategic management in Vietnam commercial banks. Applying the Structural Equation Modelling (SEM) based on the Partial Least Squares(PLS) approach, the empirical study in the case of BIDV revealed that reputation factor has most positive impact on the strategic management of the bank. Other following factors have positive impact on the strategic management ranking from the highest to the lowest order including macro environment, bank resources, management style, competitiveness among rivals and structure of ownership. Based on the result of the research, the study has recommended several implications that can be highly applied for the bank management to effectively improve their strategic management in practice.

Synergistic effect of business reputation in the result of application of innovations on the enterprises of the transport industry

In the conditions of dynamic innovative development of the enterprises of transport branch along with maintaining economic instability it has become necessary to consider not only traditional factors at assessment of efficiency of activity and cost of business, but also consider business reputation factor, which depends on the level of innovative development of the enterprise and generates effect of synergy. Paper considers the concept of synergistic effect. Classification of types of synergistic effects is cited. Estimation procedure for influence of the technical level and innovative development of transport enterprises on the value of business reputation is considered. Functional dependence of the cost of business reputation on the innovative development and synergistic effect is defined.

An improved public goods game model with reputation effect on the spatial lattices

How to model the evolution of cooperation within the population is an important and interdisciplinary issue across the academia. In this paper, we propose an improved public goods game model with reputation effect on spatial lattices to investigate the evolution of cooperation regarding the allocation of public resources. In our model, we modify the individual utility or fitness as a product of the present payoff and reputation-related power function, and strategy update adopts a Fermi-like probability function during the game evolution. Meanwhile, for an interaction between a pair of partners, the reputation of a cooperative agent will be accrued beyond two units, but the defective player will decrease his reputation by one unit. Extensive Monte Carlo numerical simulations indicate the introduction of reputation will foster the formation of cooperative clusters, and greatly enhance the level of public cooperation on the spatial lattices. The larger reputation factor leads to the higher cooperation level since the reputation effect will be enormously embedded into the utility evaluation under this scenario. The current results are vastly beneficial to understand the persistence and emergence of cooperation among many natural, social and synthetic systems, and also provide some useful suggestions to devise the feasible social governance measures and modes for the public resources or affairs.

직무만족도에 영향을 미치는 내부평판 요인에 관한 연구: 기업정보 제공 소셜 미디어 빅데이터를 중심으로

본 연구는 기업정보 제공 소셜미디어 나타난 빅데이터 분석을 통해 전 현직 구성원의 직무 만족도에 영향을 미치는 내부평판 요인과 각 평판 요인별로 대기업과 중소기업간의 차이가 있는지를 분석하였다. 연구 결과 전체적으로는 '복지 및 급여'가 가장 큰 영향을 미치는 요인으로 확인되었으며, 대기업에서는 '경영진' 항목이, 중소기업에서는 '복지 및 급여' 항목이 가장 큰 영향을 미치는 요인으로 분석되었다. 대기업과 중소기업간 차이를 분석한 결과 '직무만족도', '복지 및 급여', '업무와 삶의 균형' 항목이 두 집단간에 통계적으로 유의미한 차이가 있는 수준에서 대기업 평균이 높은 것으로 확인되었으나, 정성적인 평가 내용이 포함된 비정형데이터 분석 결과 '직무만족도'와 '업무와 삶의 균형' 항목에 대한 만족도 비율은 중소기업이 높은 것으로 나타났다. 동 연구는 기존 평판 연구에서 활용된 설문이나 실험연구 방식이 아닌 소셜 미디어에 나타난 빅데이터 분석을 통해 직무만족도와 그 요인에 대한 연구라는 점에서 의의를 갖는다. The purpose of this study is to analyze the internal reputation factors that affect the job satisfaction by big data analysis in the social media for corporate reputation and verify the difference between large corporations and small-medium corporations for each factor of internal reputation. The result showed 'Salaries and Benefits' is a major factor that affects the job satisfaction for all research corporations, 'Senior Management' is a major factor for large corporations, and 'Salaries and Benefits' is a major factor for small-medium corporations. As for the difference factors of large corporations and small-medium corporations are 'Job Satisfaction', 'Salaries and Benefits', and 'Work-life Balance'. Unstructured data analysis shows some interesting features to be studied further.

URWF: user reputation based weightage framework for twitter micropost classification

Sentiment analysis is an emerging field that helps in understanding the sentiments of users on microblogging sites. Many sentiment analysis techniques have been proposed by researchers that classify and analyze the sentiments from micropost posted by various users. Majorly, these techniques perform text based classification that does not allow predicting the micropost impact. Further, it is very difficult to analyze this huge volume of online content produced each day. Therefore, an effective technique for sentiment analysis is required that not only performs the precise text-based classification but also makes the analysis easy by reducing the volume of data. Moreover, micropost impact must also be determined in order to segregate the high impact microposts in corpus. In the present study, we have presented sentiment analysis framework that incorporates any text based classification and separates out the high impact microposts from low impact by calculating the factor of user reputation. This user reputation is calculated by considering multiple factors regarding user activities that may help organizations to know customer opinions and views about their products and services. This way, volume of data becomes small that has to be analyzed by considering only microposts posted by high impact users. Multiple text classifications classes are introduced instead of just positive, negative and neutral for precise sentiment classification. The proposed framework also calculates the accumulated weight of each micropost by multiplying the user reputation with the assigned sentiment score. The user reputation calculation factors are validated by using Spearman rho and Kendall tau correlation coefficient. The framework is further evaluated by using the Sanders topic based corpus and results are presented.

Investigating motivating factors for sound hospital waste management

ABSTRACTSustainable management of hospital waste requires an active involvement of all key players. This study aims to test the hypothesis that three motivating factors, namely, Reputation, Liability, and Expense, influence hospital waste management. The survey for this study was conducted in two phases, with the pilot study used for exploratory factor analysis and the subsequent main survey used for cross-validation using confirmatory factor analysis. The hypotheses were validated through one-sample t tests. Correlations were established between the three motivating factors and organizational characteristics of hospital type, location, category, and size. The hypotheses were validated, and it was found that the factors of Liability and Expense varied considerably with respect to location and size of a hospital. The factor of Reputation, however, did not exhibit significant variation. In conclusion, concerns about the reputation of a facility and an apprehension of liability act as incentives for sound hospital waste management, whereas concerns about financial costs and perceived overburden on staff act as disincentives.Implications: This paper identifies the non economic motivating factors that can be used to encourage behavioral changes regarding waste management at hospitals in resource constrained environments. This study discovered that organizational characteristics such as hospital size and location cause the responses to vary among the subjects. Hence a policy maker must take into account the institutional setting before introducing a change geared towards better waste management outcomes across hospitals. This study covers a topic that has hitherto been neglected in resource constrained countries. Thus it can be used as one of the first steps to highlight and tackle the issue.

Global College Rankings

It is difficult to find consensus regarding the global criteria for college rankings. The worldwide open market for intellectual professionals would be less problematic if there are some standards. There is a question of costs, and which party would be responsible for the expenses. In all the most widely known global rankings, U.S. colleges still generally rule the college rankings. The total research budget in the U.S.A. continues to dominate in the world. Most academic publications on this subject are about the original college ranking used, and many of the newer college ranking systems are not mentioned. The current work serves to fill this gap. The reputation factor is very important in college rankings. As with human reputation (which is the only thing that survives when a human dies) college reputation seems to be one of the few lasting characteristics. If affordability is an important factor, then one of the newer college rankings would be more useful.

A location aware history-based approach for network selection in heterogeneous wireless networks

Efficient decision making in vertical handoff and network selection algorithms improves users' quality of service and helps users meet service requirements, anywhere and at any time. Hence, in this paper, a user-centric network selection algorithm is proposed, utilizing the estimated reputation of the available candidate networks based on user location and combined experienced users' utility. User utility is dened based on 1) quality of service, 2) monetary cost, and 3) energy consumption metrics. In the proposed history aware-based user location algorithm, the past experience of users for available networks is considered to estimate the future utility that a user can obtain from a candidate network. The reputation factor for networks is used based on knowledge of users from each other while receiving service. Simulation results indicate that the average obtained utility by users is improved and handoff criteria, i.e. handoff number and failed and unnecessary handoffs, decrease. It can be seen that users choose networks with good past operations and this can encourage operators to provide good quality services for increasing their revenue.

Erlang coefficient based conditional probabilistic model for reliable data dissemination in MANETs

In MANETs, reputation plays a significant role in reliable dissemination of data for establishing maximum degree of cooperation among the mobile nodes in the network. But, the presence of selfish nodes drastically reduces the level of cooperation between the nodes and further reduces the life time of the network. Moreover, when the number of selfish nodes increases in the network, the packet delivery ratio and throughput decreases which in turn increases the number of retransmissions. Hence, an effective mechanism for isolating selfish nodes in order to increase the packet delivery rate and the throughput for reliable dissemination of data becomes vital. This paper proposes an Erlang coefficient based conditional probabilistic model (ECCPM) which makes the decision of isolating selfish nodes through the manipulation of Conditional Probabilistic Coefficient (CPC) factor. This Conditional Probabilistic Coefficient acts as the reputation factor for estimating the level of negative impact produced by selfish nodes toward the resilience of the network. The proposed work is simulated in ns-2 and from the results, it is obvious that ECCPM showed better performance in terms of packet delivery ratio, throughput, control overhead and total overhead than existing mitigation mechanisms like RCSBMM, RFBMM, SHRCM and PCMA proposed for selfish nodes.

The Factor of Author's Reputation in Retranslations: Edgar Allan Poe on the Turkish Literary Scene

This paper investigates the validity of André Lefevere’s assumption that “a canonized author is translated more on his own terms (according to his own poetics) than on those of the receiving system” (2000: 237) through a case study of Edgar Allan Poe retranslations in the Turkish literary system. The first part of the paper includes extratextual analysis carried out according to Gérard Genette’s categorization of “metatexts” and “paratexts,” and a further category which includes the social media. Poe’s poetics and the poetics of the Turkish literary system, as well as Poe’s reception in the system are explored through extratextual analysis to determine whether Poe gained more canonicity or reputation. The extratextual analysis reveals the author’s increasing influence, reception and reputation in the Turkish literary system over a time span of almost ninety years. The second part of the paper presents the textual analysis of Poe’s two tales, “Hop-Frog” and “The Masque of the Red Death”, in eight translations published between 1928 and 2002. Textual analysis serves to reveal whether Poe was translated more according to his own poetics as he became more reputable in the target literary system. The paper concludes that factors other than reputation of an author have also a role to play in translating an author according to his own poetics.

Pemilihan Pompa Electric Submersible Pump Menggunakan Metode Analytical Hierarchy Process (Studi Kasus Lapangan Zaryka)

Lapangan Zaryka merupakan salah satu lapangan minyak pada cekungan Sumatera Tengah. Untuk meningkatkan produksi minyaknya, digunakan pompa benam listrik bawah permukaan (Electric Submersible Pump). Pompa ESP merupakan salah satu jenis artificial lift yang digunakan untuk memproduksikan minyak bumi ke permukaan. Permasalahannya, terdapat berbagai produk ESP yang dipasarkan dengan berbagai jenis,k tipe, dan keunggulan yang bervariasi. Keberagaman ini menyulitkan bagi perusahaan untuk menentukan produk pompa ESP mana yang tepat untuk digunakan. Metode Analytical Hierarchy Process dapat dipergunakan untuk membantu dalam memilih pompa ESP. Terdapat tiga faktor utama yang menjadi pertimbangan yaitu daya tahan produk, pengalaman dan reputasi dan jumlah maintenance, sementara untuk elemen alternatif terdapat empat produk pompa yaitu Centraleft, Motherford, Red-A dan Wooden Group. Hasil analisa menunjukkan bahwa faktor utama yang menjadi pertimbangan dalam pemilihan pompa ESP adalah faktor daya tahan produk (56%), faktor jumlah maintanance (32%), dan faktor pengalaman dan reputasi (12%). Ditinjau dari berbagai faktor, alternatif pompa Red-A merupakan alternatif pompa terbaik (35%), pompa Centraleft (29%), pompa Motherford (19%) dan pompa Wooden Group (16%).

Fuzzy Based Trust and Reputation Model for Secure Resource Allocation in Cloud Computing

The main objective of this research work is to design and develop a Fuzzy Logic based trust and reputation model for secure resource allocation in cloud computing. The cloud computing is one of the major topics discussed among the IT professionals in recent days. In this paper trust manager and reputation manager based approach is used to update the security. Initially, the user access a resource block through the scheduling manager and a form will send to the user after accessing the resource block to fill the attribute values of trust factor and reputation factor. The trust factor and reputation value is then calculated for the resource center and it is given to the Fuzzy Logic system to get the security score of a resource center. The benefit of our proposed technique is to provide the security controls in accessing the cloud resources from cloud computing due to various security issues happened in networks, databases, resource scheduling, transaction management and load balancing.