nils-herrmann/clean_scirepeval huggingface dataset:
New Factors Inducing Changes in the Retail Banking Customer Relationship Management (CRM) and Their Exploration by the Fintech Industry

Growing levels of regulation force financial institutions to change their business models toward lower risk levels, higher capital adequacy, service quality, and more stable revenue pools. In parallel with the regulatory changes, the banks are subject to pressure from accelerated technology development and social changes. These two factors influence the behavior of customers and induce changes in the customer relationship management (CRM) Taking the example of retail banking, the factors and their impacts are explained. Additionally, a view on the FinTech industry is presented, highlighting areas where traditional financial institutions are losing market share to technology savvy and socially oriented new ventures with exceptional CRM capabilities. The conclusion contains proposed strategic actions that need to be undertaken in order to prepare the financial services industry for managing customer relationships in the increasingly technosocial environment.
A Study of Malaysian Customers Purchase Motivation of Halal Cosmetics Retail Products: Examining Theory of Consumption Value and Customer Satisfaction

Today, Halal is not simply a religious issue rather it is an opportunity to increase sale and acquire competitive advantage. Concerning its importance, this conceptual paper explores the relationship between perceived value and customer satisfaction for Halal cosmetics products by expanding the Theory of Consumption Value (TCV) This study applies the consumption value model as the basic framework, which includes the functional value, the social value, the emotional value, the epistemic value and the conditional value. This paper proposes brand value as a new value dimension to the original framework. There is a need to investigate the value dimensions identified in greater depth and to operationalise these dimensions so that the key relationships that can better explain consumers' choices and reactions can be established.
Exploring the Antecedents of Customer Loyalty in the Malaysian Retail Sector

As the market is becoming more competitive, managers and marketers are becoming more aware of the importance of being a customer oriented company to survive, and in this regard, customer loyalty is one of the major outcome of customer oriented approach. Moreover, shifting the concept of marketing exchange from transactions to relationship emphasizes the importance of building customer loyalty. Therefore, nowadays, marketers are in the quest to obtain knowledge on how to build customer loyalty. However, most of the previous studies focused on business to customer (B2C) context. Due to several differences between B2C and business to business, there is a need to investigate the antecedents of customer loyalty separately from B2C. Therefore, this study focused on the Malaysian retail sector. The obtained results supported a positive influence of each of four adopted constructs, which represented by service quality, corporate image, customer trust, and customer switching cost, on customer loyalty. In light of the findings, several managerial implications were highlighted
Dimensions affecting customer satisfaction in retail banking: A literature review

Customer satisfaction is important for all organizations because it determines their existence in the competition. Services sector form an important aspect of today's business scenario. Customer satisfaction is especially important for services sector. Banking constitutes an important aspect in the services sector. Banks will not be able to serve their customer unless they know what their customers really want and what satisfy them. Banks will be able to know about these requirements from the various dimensions of customer satisfaction in the retail banking. For this reason, it becomes important to understand the dimensions affecting customer satisfaction in retail banking. This paper reviews the literature with respect to finding the dimensions affecting customer satisfaction in retail banking and comes out with some suggestions which need to be followed in finding the dimensions.
Using DuPont analysis to assess the financial performance of the top 3 JSE listed companies in the food industry

This study attempts to measure the financial performance of the food industry taking the top three JSE listed companies Pioneer Foods, Tiger Brands and RCI for the period of 2013 2014. In order to achieve the objectives of this research, ratios such as return on equity (ROE) return on assets (ROA) have been calculated by applying the DuPont analysis. The DuPont analysis is an important tool to measure the operating performance of a firm (Sheela and Karthikeyan, 2012) The volatility of the stock market makes investment decisions a controversial issue for most investors. Investments of huge amounts of money need proper analysis in order to make an informed decision. Financial statements are indicators of the profitability and financial sustainability of the business. Ratios are tools used to quantify the risk element before making any strategic decisions, more especially, investment decisions. It has been reported to be one of the most important financial ratios, because it provides investors with a more comprehensive measure of performance (Demmer, 2015) A detailed financial analysis of all three companies using the DuPont system shows that investing in Tiger Brands would generate a higher return to shareholders than Pioneer Foods or RCI.
Measurement of Efficiency of Top 12 Banks in India Using DuPont Analysis

Indian economic growth is largely supported by the banking sector. Profitability of a bank depends on the amount of capital available with the bank for business activities. Public sector banks are largely funded by the government and hence the equity component in the share capital is quite less than that of private sector banks. The question is how efficiently the capital is used. Are the profitability ratios true reflections of the performance of a bank? In the present paper, the top 12 banks that form the BSE Bankex are selected to study the performance of the banking sector in India in the last six years. The performance of the banks was studied using DuPont model, as DuPont analysis provides much deeper understanding on the efficiency of the bank. The findings reveal that the performance of the bank cannot be judged by profit or some ratios alone and that the banks that made more profits were not really efficient.
A Study of Financial Performance using DuPont Analysis in Food Distribution Market

This study attempts to measure the financial performance of the food distribution company. In order to achieve the goal, this study have measured the ratios of ROE, ROA applying the DuPont analysis, which have been demonstrated with tables to show the change periodically. DuPont analysis is based on analysis of Return on Equity (ROE) Return on Investment (ROI) The return on equity disaggregate performance into three components: Net Profit Margin, Total Asset Turnover, and the Equity Multiplier. The return on investment consists of Assets Turnover (Operating IncomexTotal Assets) and Profit Margin (EBITxOperating Income) From the study it if found that Hyundae Green Food's Financial performance is high followed by Foodmerce and then Dongwon home food and Lotte Food. The four companies are significant at their level. In conclusion, ROE ROI is the most comprehensive measure of profitability of a firm. It considers the operating and investing decisions can be made as well as the financing and their leverage related decisions.
THE AGORA HIGH RESOLUTION GALAXY SIMULATIONS COMPARISON PROJECT. II. ISOLATED DISK TEST

Using an isolated Milky Way mass galaxy simulation, we compare results from nine state of the art gravito hydrodynamics codes widely used in the numerical community. We utilize the infrastructure we have built for the AGORA High resolution Galaxy Simulations Comparison Project. This includes the common disk initial conditions, common physics models (e.g. radiative cooling and UV background by the standardized package Grackle) and common analysis toolkit yt, all of which are publicly available. Subgrid physics models such as Jeans pressure floor, star formation, supernova feedback energy, and metal production are carefully constrained across code platforms. With numerical accuracy that resolves the disk scale height, we find that the codes overall agree well with one another in many dimensions including: gas and stellar surface densities, rotation curves, velocity dispersions, density and temperature distribution functions, disk vertical heights, stellar clumps, star formation rates, and Kennicutt Schmidt relations. Quantities such as velocity dispersions are very robust (agreement within a few tens of percent at all radii) while measures like newly formed stellar clump mass functions show more significant variation (difference by up to a factor of ~3) Systematic differences exist, for example, between mesh based and particle based codes in the low density region, and between more diffusive and less diffusive schemes in the high density tail of the density distribution. Yet intrinsic code differences are generally small compared to the variations in numerical implementations of the common subgrid physics such as supernova feedback. Our experiment reassures that, if adequately designed in accordance with our proposed common parameters, results of a modern high resolution galaxy formation simulation are more sensitive to input physics than to intrinsic differences in numerical schemes.
Towards a Common Format for Computational Materials Science Data

Information and data exchange is an important aspect of scientific progress. In computational materials science, a prerequisite for smooth data exchange is standardization, which means using agreed conventions for, e.g. units, zero base lines, and file formats. There are two main strategies to achieve this goal. One accepts the heterogeneous nature of the community which comprises scientists from physics, chemistry, bio physics, and materials science, by complying with the diverse ecosystem of computer codes and thus develops "converters" for the input and output files of all important codes. These converters then translate the data of all important codes into a standardized, code independent format. The other strategy is to provide standardized open libraries that code developers can adopt for shaping their inputs, outputs, and restart files, directly into the same code independent format. We like to emphasize in this paper that these two strategies can and should be regarded as complementary, if not even synergetic. The main concepts and software developments of both strategies are very much identical, and, obviously, both approaches should give the same final result. In this paper, we present the appropriate format and conventions that were agreed upon by two teams, the Electronic Structure Library (ESL) of CECAM and the NOMAD (NOvel MAterials Discovery) Laboratory, a European Centre of Excellence (CoE) This discussion includes also the definition of hierarchical metadata describing state of the art electronic structure calculations.
#Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self esteem.
Venue: Journal of adolescence

This study examined how social media use related to sleep quality, self esteem, anxiety and depression in 467 Scottish adolescents. We measured overall social media use, nighttime specific social media use, emotional investment in social media, sleep quality, self esteem and levels of anxiety and depression. Adolescents who used social media more both overall and at night and those who were more emotionally invested in social media experienced poorer sleep quality, lower self esteem and higher levels of anxiety and depression. Nighttime specific social media use predicted poorer sleep quality after controlling for anxiety, depression and self esteem. These findings contribute to the growing body of evidence that social media use is related to various aspects of wellbeing in adolescents. In addition, our results indicate that nighttime specific social media use and emotional investment in social media are two important factors that merit further investigation in relation to adolescent sleep and wellbeing.
Age and gender differences in self esteem A cross cultural window.
Venue: Journal of personality and social psychology

Research and theorizing on gender and age differences in self esteem have played a prominent role in psychology over the past 20 years. However, virtually all empirical research has been undertaken in the United States or other Western industrialized countries, providing a narrow empirical base from which to draw conclusions and develop theory. To broaden the empirical base, the present research uses a large Internet sample (N 985,937) to provide the first large scale systematic cross cultural examination of gender and age differences in self esteem. Across 48 nations, and consistent with previous research, we found age related increases in self esteem from late adolescence to middle adulthood and significant gender gaps, with males consistently reporting higher self esteem than females. Despite these broad cross cultural similarities, the cultures differed significantly in the magnitude of gender, age, and Gender x Age effects on self esteem. These differences were associated with cultural differences in socioeconomic, sociodemographic, gender equality, and cultural value indicators. Discussion focuses on the theoretical implications of cross cultural research on self esteem.
Association between Facebook addiction, self esteem and life satisfaction: A cross sectional study
Venue: Comput. Hum. Behav.

In recent years, many research efforts have been focused on investigation of potential connection between social networking and mental health issues. Particularly important and controversial remains the association between Facebook use, self esteem and life satisfaction. In our cross sectional study, on a sample of 381 Facebook users, we tested the existence and strength of this relationship using Bergen Facebook Addiction Scale (BFAS) Facebook Intensity Scale (FBI) Rosenberg's Self Esteem Scale (SES) and Satisfaction With Life Scale (SWLS) With k means cluster analysis, we divided the sample into 3 groups: ordinary, intensive, and addicted Facebook users. The results of our study show that ordinary Facebook users differ statistically in self esteem and life satisfaction from both addicted and intensive users. Facebook addiction was in relation with lower self esteem. Facebook addiction was also negatively related to life satisfaction. These results are in accordance with the previously published findings of other authors in the fields of social networking psychology and psychiatry. We investigated the relationship between Facebook use, self esteem and life satisfaction.The study was done on a sample of 381 Facebook users.Facebook addiction was negatively related to satisfaction with life.The results are in accordance with the previously published findings.
Separating Narcissism From Self Esteem

Narcissism is a personality trait characterized by a sense of superiority and a desire for respect and admiration from others. A common belief, both in psychology and in popular culture, is that narcissism represents a form of excessive self esteem. Psychologists, including ourselves, have labeled narcissism as "an exaggerated form of high self esteem," "inflated self esteem," and "defensive high self esteem." We review research that challenges this belief by showing that narcissism differs markedly from self esteem in its phenotype, its consequences, its development, and its origins. Drawing on emerging developmental psychological evidence, we propose a distinction between narcissism and self esteem that is based on the divergent socialization experiences that give rise to them. This proposal clarifies previous findings, stimulates theory development, and creates opportunities for intervention to concurrently raise self esteem and curtail narcissism from an early age.
Refining the vulnerability model of low self esteem and depression: Disentangling the effects of genuine self esteem and narcissism.
Venue: Journal of personality and social psychology

A growing body of research supports the vulnerability model of low self esteem and depression, which states that low self esteem is a risk factor for depression. The goal of the present research was to refine the vulnerability model, by testing whether the self esteem effect is truly due to a lack of genuine self esteem or due to a lack of narcissistic self enhancement. For the analyses, we used data from 6 longitudinal studies consisting of 2,717 individuals. In each study, we tested the prospective effects of self esteem and narcissism on depression both separately for each construct and mutually controlling the constructs for each other (i.e. a strategy that informs about effects of genuine self esteem and pure narcissism) and then meta analytically aggregated the findings. The results indicated that the effect of low self esteem holds when narcissism is controlled for (uncontrolled effect .26, controlled effect .27) In contrast, the effect of narcissism was close to zero when self esteem was controlled for (uncontrolled effect .06, controlled effect .01) Moreover, the analyses suggested that the self esteem effect is linear across the continuum from low to high self esteem (i.e. the effect was not weaker at very high levels of self esteem) Finally, self esteem and narcissism did not interact in their effect on depression; that is, individuals with high self esteem have a lower risk for developing depression, regardless of whether or not they are narcissistic. The findings have significant theoretical implications because they strengthen the vulnerability model of low self esteem and depression.
Visualizing and Understanding Neural Models in NLP
Venue: HLT NAACL

While neural networks have been successfully applied to many NLP tasks the resulting vector based models are very difficult to interpret. For example it's not clear how they achieve \em compositionality} building sentence meaning from the meanings of words and phrases. In this paper we describe four strategies for visualizing compositionality in neural models for NLP, inspired by similar work in computer vision. We first plot unit values to visualize compositionality of negation, intensification, and concessive clauses, allow us to see well known markedness asymmetries in negation. We then introduce three simple and straightforward methods for visualizing a unit's \em salience} the amount it contributes to the final composed meaning: (1) gradient back propagation, (2) the variance of a token from the average word node, (3) LSTM style gates that measure information flow. We test our methods on sentiment using simple recurrent nets and LSTMs. Our general purpose methods may have wide applications for understanding compositionality and other semantic properties of deep networks and also shed light on why LSTMs outperform simple recurrent nets,
Rising competitive authoritarianism in Turkey

Since the Justice and Development Party (AKP) came to power in 2002 Turkey has undergone double regime transitions. First, tutelary democracy ended; second, a competitive authoritarian regime has risen in its stead. We substantiate this assertion with specific and detailed evidence from 2015 election cycles, as well as from broader trends in Turkish politics. This evidence indeed confirms that elections are no longer fair; civil liberties are being systematically violated; and the playing field is highly skewed in favour of the ruling AKP. The June 2015 election results and their aftermath further confirm that Turkey has evolved into a competitive authoritarian regime.
The Emergence Of Modern Turkey

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Iterated local search with Trellis neighborhood for the partial Latin square extension problem
Venue: J. Heuristics

A partial Latin square (PLS) is a partial assignment of n symbols to an $n\times n$$nxn grid such that, in each row and in each column, each symbol appears at most once. The PLS extension problem is an NP hard problem that asks for a largest extension of a given PLS. We consider the local search such that the neighborhood is defined by (p, q) swap i.e. the operation of dropping exactly p symbols and then assigning symbols to at most q empty cells. As a fundamental result, we provide an efficient (p,\infty (p, neighborhood search algorithm that finds an improved solution or concludes that no such solution exists for $p\in  The running time of the algorithm is $O(n^{p+1}$O(np+1) We then propose a novel swap operation, Trellis swap, which is a generalization of (p, q) swap with $p\le 2$$p<=2. The proposed Trellis neighborhood search algorithm runs in $O(n^{3.5}$O(n3.5) time. The iterated local search (ILS) algorithm with Trellis neighborhood is more likely to deliver a high quality solution than not only ILSs with (p,\infty (p, neighborhood but also state of the art optimization solvers such as IBM ILOG CPLEX and LocalSolver.
New local searches for solving the multi source Weber problem
Venue: Ann. Oper. Res.

This paper presents three new heuristic approaches for the solution of the multi source Weber problem in the plane: a constructive heuristic that finds a good starting solution, a decomposition approach which uses Delaunay triangulation, and a new efficient neighborhood structure based on the single facility limited distance median problem. A new heuristic incorporating all these approaches provided high quality solutions in reasonable computing time. We conclude that these heuristics successfully compete with the metaheuristic based methods found in the literature improving ten best known solutions. The ideas here may be extended to a variety of other continuous location as well as data mining problems.