Miracle-dz/UniFAR-FTUs huggingface dataset:
Are Sustainable Consumers Health Conscious? A Segmentation Study of Wine Consumers

ABSTRACT As a result of consumers’ increasing concerns with ethical, environmental, and health issues, sustainable consumption and production have become a popular topic of recent academic research and industry practices. The current study sought to provide in-depth insights into consumers’ views on sustainability by simultaneously examining their environmental and social awareness and behavior, health-conscious lifestyles, and diets; as well as the perceived importance of social and nutrition information on wine labels. Based on empirical data obtained through a web-based survey distributed to consumer panels in three markets – the US, the UK, and Germany – this research segmented wine consumers into four categories: Apathetic Consumers; Health-Conscious Diners; Holistic Perfectionists; and Ethical Advocates. The findings indicate that in general wine consumers are mindful about the environmental problems, social responsibility of companies, ethically produced and sustainably sourced products. The majority adhere to healthy lifestyles and watch their diets. Nevertheless, with the exception of only one cluster (Holistic Perfectionists), wine consumers do not actively seek social, environmental, or nutritional information on wine labels. This study shows that, at least currently, the preferences for the social factors are unlikely to outweigh dominating traditional wine purchase drivers, such as price, brand, country of origin, and grape variety. Industry implications for tailored marketing strategies are discussed.
Nutraceutic Food: Testing The Consumer’s WTP for Sunflower PUFA Oil

Nutraceutical foods are supposed to procure medical or health benefits beyond the effects of nutrients compounds alone. However, few of them are accompanied by convincing health claims, as the response to nutraceutical components varies from subject to subject, depends on the concentration of bioactive components and their efficacy must be tested in repeated clinical trials. Many medical studies have proved the non-substitutable roles of polyunsaturated essential fatty acids (PUFA) in many biological and regulatory patterns. The purpose of this research is to test the consumers’ attitude to sunflower PUFA oil and their willingness to pay (WTP) a premium price for the quality of this nutraceutical food. The inference is based on the Structural Equation Modeling (SEM) able to capture the complexity of credence quality of this nutraceutical oil to influence the customer decisions. A survey with “ad hoc” questionnaire using CASI technique was submitted to a sample of consumers located in the northeast region FVG in Italy. The results confirmed the two above hypotheses and suggested to frame the communication strategy according with claim regulation to strengthen the customization for PUFA sunflower oil.
The Future of the Private Sector in an Age of Uncertainty

The chapter is concerned with the future of state–business relations (SBRs) in the MENA region, and about the potential for private sector growth. Can the new environment of heightened popular demands and lower oil prices encourage the political regimes in place to improve their efforts at boosting economic growth, even at the political risk of tolerating a larger private sector? The chapter outlines four types of relatively successful SBRs models that have taken hold in the MENA region in the recent past, and asks if particular models can be replicated in the rest of the region. It outlines how the intensity of social movements, and the ways the state reacts to them, influences the formation of SBRs. The main conclusion is that for many regimes, there seem to be only bad options to choose from, ushering an age of dilemma with uncertain choices and prospects.
Financial Self-Efficacy and Entrepreneurial Leadership on SME Performance

Small, and Medium Enterprises (SME) management is highly dependent on the role of entrepreneurial leadership because it is one of the keys to success in the company. Entrepreneurial leadership is an act of change that leads to the increasing of creativity, innovation, intuition, leadership skills, motivation, and the courage to take risks in an organization. A leader must be able to influence subordinates’ behavior so that they can cooperate and work productively to achieve organizational goals. A number of researchers have studied the success factors for Small, and Medium Enterprises (SMEs) by discussing about human/ social and financial capital. But, it is found that only small numbers of researcher who analyze the role of socio-cognitive factors in the SMEs’ success. One of the most important factors is self-efficacy. Self-efficacy is particularly suited for entrepreneurial studies because it builds certain tasks, including an individual's self-esteem, both internal (personality) and external (environmental). The population of this study is the Alumni of UNESA. The sampling technique is conducted by purposive sampling. Alumni who run a business and graduated at least 2 years before 2017 are chosen as sample. The data analysis technique used is multiple regression analysis. The results of this study conclude that there is influence between entrepreneurial leadership and financial self-efficacy on the performance of micro and small business amongst the alumni.
Developing leadership in middle managers

Developing Leadership in Middle Managers How do middle managers benefit from formal leadership development programmes? What are the key factors to include in a programme in order to maximise the opportunities for leadership development amongst managers who are in the middle of organisational hierarchy? A submission presented in part fulfilment of the requirements of the University of Glamorgan/Prifysgol Morgannwg for the degree of Doctorate of Business Administration. This research programme was carried out under part-sponsorship of Public Service Management Wales (PSMW)
Business Development Strategy of SMEs to Improve Welfare of Craftsmen

industry had a huge potential to accelerate equitable economic growth and improve the welfare of the community. SMEs should have ability to develop its growth strategy based on internal and external constraints as an alternative creative industry. The purpose of this study were (1) to identify weaknesses and advantages, as well as the opportunities and threats as factors that become obstacles and challenges of growing SMEs, (2) to determine the appropriate strategic alternatives for the development of SMEs as efforts acceleration to increase public welfare. The research method was designed based on a survey conducted in SMEs calligraphy craftsman of goat leather. The findings revealed that SMEs goat-leather calligraphy craft had good prospects as an alternative farm enterprise development. The SMEs could be developed with the use of local resources synergized with the creative industry as a new source of income through the community empowerment.
Document Image Database (2009 - 2012): A Systematic Review

Document image binarization contributes significantly to the success of the document image analysis and recognition challenging tasks. Image quality can play an important role in addressing the issue of binarization effectiveness. In this paper, a comprehensive review of document database was presented. Review based on image from Document Image Binarization Contest (DIBCO) 2009 to 2012 consists handwritten and printed image. The best algorithm for each year is discussed and analysed. Implications of the review give the direction for future binarization approach developments.
WORKLOAD AND JOB SATISFACTION ANALYSIS AS THE BASIS OF WORK SYSTEM IMPROVEMENT

Employees’ workload can be high when the existing manpower is limited and the list of jobs to do are long. For the employee, the workload may affect their job satisfaction and their performance in the long-term. Assessment of workload and its influence to job satisfaction was done at Sustainability and Operation Department of cultivates and harvests oil palms Company in Indonesia. The workload was measured using NASA-TLX that measure mental demand, physical demand, temporal demand, performance, effort, and frustration. While job satisfaction is measured using a questionnaire about superiors’ support, colleagues assistance, remuneration, and promotion. The assessment result showed that employee’s workload in these departments was identified as rather high. This is coming from commonly overtime exists and high domestic traveling frequency. Besides that, there is a correlation between workload and job satisfaction. There is two correlations model, positive and negative. The high workload can improve the job satisfaction, but otherwise, it can decrease job satisfaction. To reduce the workload, information system and database suggested for the company to reduce the employee difficulty in accessing data to finish their job that caused excessive overtime.
Examining the Effects of Service Performance, Hotel Attributes and Experiential Quality on Brand Loyalty: The Case of Hotel Impiana Morib

The competitive environment in the lodging industry requires the strategic management to ensure quality experience and consequently loyalty among the customers. This study examines the relationships between service performance and attributes of hotel as well as experiential quality and brand loyalty. As the major contribution to literature, this study aims to introduce experiential quality as an important variable in the service sector. Data was collected using convenient sampling with a sample of 298 respondents comprising of the hotel guests. The findings of the study reveal that experiential quality not only has the strongest effect on brand loyalty, but also mediates the relationships between service performance as well as hotel attributes and brand loyalty. Understanding the results from this study may provide guidelines for hotel operators the differentiated marketing strategies in this intensely competitive marketing.
The Link between Sustainable Supply Chain Management and Competitive Advantage

The purpose of this study is to clarify the relationship between Sustainable Supply Chain Management (SSCM) and firms’ competitive advantage, and to propose one of the Creating Shared Value (CSV) models which Porter and Kramer advocate for firms to achieve sustainable competitive advantage. In this study, firstly, the concept of CSV is defined based on the previous research, then one CSV model is proposed, and, finally, the model is assessed through quantitative analysis of survey data from a sample of manufacturers. The survey data verifies 3 of the proposed model’s hypotheses: 1. Positive correlation between SSCM activities and organization management capability / interorganization management capability; 2. Positive correlation between organization management capability / interorganization management capability and competitive advantage, especially dynamic capability. 3. Positive correlation between dynamic capability and economical value (customer recognition, cost reduction in total supply chain and sustainable competitive advantage, etc.).
Active Visual-Tactile Cross-Modal Matching

Tactile and visual modalities frequently occur in cognitive robotics. Their matching problem is of highly interesting in many practical scenarios since it provides different properties about objects. In this paper, we investigate the active visual-tactile cross-modal matching problem which is formulated as retrieving the relevant sample in unlabeled gallery visual dataset in response to the tactile query sample. Such a problem exhibits a nontrivial challenge that there does not exist sample-to-sample pairing relation between tactile and visual modalities. To this end, we design a shared dictionary learning model which can simultaneously learn the projection subspace and the latent shared dictionary for the visual and tactile measurements. In addition, an optimization algorithm is developed to effectively solve the shared dictionary learning problem. Based on the obtained solution, the visual-tactile cross-modal matching algorithm can be easily developed. Finally, we perform experimental validations on the PHAC-2 datasets to show the effectiveness of the proposed visual-tactile cross-modal matching framework and method.
Estimation of Stock Price: A Case Study of JB Hi-Fi Limited

As a major part of the security market, stock market now has become an important financing channel of most corporations. The pricing researches of stock market have great theoretical and practical significance. Against this background, this paper discusses the calculation process of stock price of JB Hi-Fi Limited and analyzes it by discussing and calculating the relevant financial statistics which would be based on different data resources. Specifically, based on the adjusted stock prices of JB Hi-Fi Limited from 31 May 2012 to 30 April 2017, we calculate the beta coefficient of JB Hi-Fi. Then, we estimate the stock price of JB Hi-Fi using single-stage and two-stage model respectively and compare the theoretical stock price with the actual price. Finally, we provide some recommendations for stock investors.
TAGEXPLORER: FACETED BROWSING OF FLICKR PHOTOS

In this paper we present TagExplorer, an application for faceted browsing of Flickr photos using tags. Information facets have been proposed as a useful means to assist the user in browsing large and complex information spaces. The tags provided by users annotating their photos in Flickr provide valuable knowledge that we deploy to feed the faceted browsing. We identify facets for photo browsing based on frequency of usage in Flickr annotations. We deploy a tag classification system to map the tags to facets and combine this with tag co-occurrence analysis, to obtain meaningful query refinement terms. The faceted browsing application presents the facets in the form of a tag cloud where terms belonging to the same facet are grouped together. The application has been available on-line for over a year and we present an analysis of interaction logs collected over the period of 12 months. The analysis shows how users can effectively deploy the query recommendations to explore large image collections, and provides detailed insight into a users’ search behavior.
Predicting Sales Email Responders using a Natural Language Model

Email is a standard and popular means of establishing potential business relationships between salespeople and future customers, but it is difficult for machines to generate messages that are as convincing as a human author. We take first steps towards the automatic generation of humanquality emails by presenting a model predicting if an email will be successful in eliciting a response. In this paper we propose a natural language model that predicts whether a human-authored sales e-mail will get a response from a previously uncontacted recipient. We test our algorithm with a set of 116 outbound sales e-mails used in practice. Our algorithm is successfully able to predict if an e-mail in this set received a response with an F1 score of 0.81. This work provides initial steps in understanding how to automate convincing communication over email between humans and computers.
Guidance, Governance, and Equity Prices

We introduce a measure of corporate governance based on the degree of transparency and managerial opportunism in firms’ guidance release policy. Firms with a good quality of guidance governance have better performance than firms with a poor quality of guidance governance and firms that do not provide guidance. We also find a causal negative relation between leverage and the quality of guidance governance during the financial crisis. Overall, firms’ guidance release policies are heterogeneous in terms of their governance-related characteristics, and providing guidance is a net positive for firms only if it is done in a consistent and transparent manner.
Improving the handling of residue cases in organic production – part 1 "Quick Scan"

The aim of the «Quick Scan» project is to provide an inventory of current procedures concerning residue cases in organic products. To this end, experts were interviewed about the current situation in their respective countries. 19 control bodies (CBs), 29 control authorities (CAs) and 5 food companies returned a completed questionnaire. The following 25 EU Member States are covered in the Quick Scan: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Italy, Ireland, Lithuania, Luxembourg, Malta, The Netherlands, Poland, Romania, Slovenia, Spain, Sweden and UK. Sampling procedures are governed by European and national legislation, as well as by internal documents. Sample selection is governed mainly by risk assessment and by the requirement to include 5 % of operators. In many countries, CBs are free to choose laboratories, while in other countries, the authorities provide a list of labs from which to choose. Experts from 17 out of 25 Member States (MS) (= 72 %) reported that for each pesticide residue case, an investigation is carried out, irrespective of the residue level. For 6 MS (= 20 %), it was reported that whether an investigation is carried out depends on pesticide residue level. For 2 MS (= 8 %), it was reported that an investigation is carried out on a case by case basis. Experts from 8 out of 25 MS (= 32 %) reported that products containing unauthorized pesticides are always de‐certified, irrespective of quantity, cause and accountability. For 6 MS (= 24 %), it was reported that the decision on de‐certification depends on pesticide residue levels. For 11 MS (= 44 %), it was reported that a de‐certification decision is taken on a case by case basis. Experts from 4 out of 25 MS (= 16%) mentioned that residue cases are always reported to the official authority while in 3 MS (= 12%), residue cases are notified on a case by case basis. For 18 MS (= 72 %), no details were provided. The main finding of this survey is that residue findings in organic products are handled very differently across EU MS. The heterogeneity is significant and concerns all aspects, from the legal basis to sampling and lab selection, case investigation, evaluation and exchange of information.
Quality of Service System Approximation in IP Networks

This paper presents Quality of Service analyses in wired and wireless IP networks based on the three popular techniques – RSVP, IntServ, and DiffServ. The analyses are based on a quick approximation schema of the traffic system with static and dynamic changes of the system bounds. We offer a simulation approach where a typical leaky bucket model is ap- proximated with a G/D/1/k traffic system with flexible bounds in waiting time, loss and priority. The approach is applied for two cascaded leaky buckets. The derived traffic system is programmed in C++. The simula- tion model is flexible to the dynamic traffic changes and priorities. Student criterion is applied in the simulation program to prove results. The results of the simulation demonstrate the viability of the proposed solution and its applicability for fast system reconfiguration in dynamic environmental circumstances. The simulated services cover a typical range of types of traffic sources like VoIP, LAN emulation and transaction exchange.
LINEAR REGRESSION DENGAN PEMBOBOTAN ATRIBUT DENGAN METODE PSO UNTUK SOFTWARE DEFECT PREDICTION

Kualitas software sudah menjadi bagian yang penting dalam proses pengembangan . Karena semakin kompleksnya sebuah software dan tingginya ekspektasi dari pelanggan. Maka saat ini biaya pengembangan software juga semakin tinggi. Oleh karena itu dibutuhkan efisiensi untuk menekan biaya pengembangan software. Salah satu cara yang bisa dilakukan yaitu dengan software defect prediction . Dengan sotware defect prediction maka dapat diketahui proyek software mana yang butuh pengecekan lebih intens. Tim test software dapat mengalokasikan waktu dan biaya lebih efektif berdasarkan hasil dari model algoritma. Metode pada riset ini menggunakan p r ep ocessing dengan mengoptimalkan bobot atribut dengan menggunakan metode PSO yang merupakan algoritma pencarian berbasis populasi dan yang diinisialisi dengan populasi solusi acak yang disebut partikel. Berdasarkan hasil pengolaha data dengan metode preprocessing terhadap dataset NASA MDP CM1. Maka didapatkan metode preprocessing dengan pembobotan atribut dengan metode PSO memiliki peningkatan akurasi menjadi 86.37% dari sebelumnya 85.54% dan AUC menjadi 0.827 dari sebelumnya 0.762. Kata kunci: prediksi cacat software, linier regression, feature selection, optimize weight.
Hedge Fund Hold 'em

We find that hedge fund managers who do well in poker tournaments have significantly better fund performance. This effect is stronger for tournaments with more entrants, larger buy-ins, larger cash prizes and for managers who placed in higher positions or who win in multiple tournaments, suggesting poker skills are correlated with fund management skills. After a manager wins a poker tournament, net flows to the manager’s fund increase significantly. These increases are concentrated in cases where there is media coverage of the manager’s poker playing, when the tournament win is bigger, and for more prominent tournaments (e.g. the World Series of Poker). Along with higher net flows, fund alpha also decreases significantly following the tournament win compared to a sample of matched peers, especially in cases where net inflows are highest, suggesting decreasing returns to scale or distractions correlated with higher net inflows erode the informativeness of the poker win signal. Given this, hedge fund investors would be better off investing in an otherwise similar manager without poker tournament success.
Nonlinear analysis of employment in waste management

ABSTRACT This paper contributes to the ongoing debate on the employment effects of waste management policy. We examine the dynamic linkage between waste tonnage and employment in the region of Paris (France), at the point when the waste management policy by delegation of service is adopted. To account for the presence of possible policy shifts, we propose the implementation of nonlinear causality tests based on the smooth transition autoregressive regression (STAR) framework. Using weekly data for four waste streams over the period January 2015–June 2017, the linearity tests reveal the presence of nonlinearity in most of the data series. When applying nonlinear Granger tests, our results provide strong support for nonlinear dependencies between waste tonnage and employment across different waste streams. For instance, we find strong statistical evidence that the causal relationship is consistently bidirectional in the miscellaneous and outdoor garbage waste streams. From a policy point of view, our findings suggest that waste management practices should factor the presence of these strong linkages and how they would affect environmental jobs creation.