Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN DAN LOYALITAS NASABAH BANK

This research was generally aims to analyze the influence of service quality on customer satisfaction which consists of tangible dimension, reliability, responsiveness, assurance and empathy towards customer satisfaction and loyalty. Special purpose of this study were: 1) To analyze Effect tangible dimension, reliability, responsivenenss, assurance, and empathy towards customer satisfaction at Bank Jateng Syariah Cabang Surakarta. 2) know how far the customer satisfaction in influencing customer loyalty Bank Jateng Syariah Cabang Surakarta, the sample used in this research was sum to 100 respondents, the sampling technique by using accidental sampling. Methods of data analysis used is multiple linear regression statistical test while using the t test and F test and test-R2. The results of this research showed tangible dimension of service quality, reliability, responsivenenss, assurance, and empathy together influence on customer satisfaction. Whereas customer satisfaction variable also affect customer loyalty.
MARKETING FASHION COLOR FOR PRODUCT LINE EXTENSION IN THE DEPARTMENT STORE CHANNEL

ABSTRACT Consumer demand, advances in manufacturing and retailing technology, and globalizationcontribute to an increasingly competitive domestic apparel market. In order to compete, retailersand manufacturers adopt aggressive product strategies designed to capture discerningconsumers. A popular strategy for product line extension in the apparel industry is the additionof fashion color to core lines. Academics and practitioners alike have suggested that color canstimulate interest and, subsequently, sales of apparel products. The current study examines theimpact of visible fashion color on sales of women’s core apparel products in the department storecontext through a quasi-experimental approach. Hypothesis tests suggest that greater depth andmagnitude of fashion color does not increase sales of either fashion color or basic color apparel.Managerial implications are offered for product strategy as well as future directions foracademic research. KEYWORDS: Apparel marketing, retailing, fashion marketing, women’s apparel, fashion color,product-line extension, retail environment
Social Networks And Sales Transactions In South African Office Markets

Scarcity of information on office transaction opportunities contributes to office markets being illiquid. Asset and vendor identity is problematic since information is privately held and highly localised in geographically dispersed markets. DiMaggio and Louch (1998) and Rangan, (2000) demonstrate how social networks resolve market uncertainty where conversional mechanisms which rely on publicly available information are not practical. The research question is how social networks are used to resolve uncertainty in commercial office sales markets. Methodology: The paper adopted an exploratory research approach. Data was collected through in-depth face-to-face interviews with opportunistically sampled commercial real estate brokers in Johannesburg, South Africa. Data was organised using NVivo (1999) ® and employed constructivist theoretical thematic analysis. Findings: Social networks seem relevant in high-value office sales transactions involving sophisticated clients. Brokers use social networks to access private information on clients’ acquisition and disposal criteria, manage information on transaction activity as per clients’ interests, pool potential buyers, channel business opportunities, and build relations and trust. Transaction are likely to be publicly marketed when they involve unsophisticated clients or unknown buyers. Research limitations: There is descriptive validity threat relating to factual validity of respondents’ accounts. There are also interpretive validity threats on accuracy of respondents’ interpretation of contexts, and researcher’s interpretation of responses. Introducing non-mainstream real estate concepts and using an opportunistic sample presents a theoretical validity threat of a plausible theoretical framework associating social networks to office sales transactions. Research implications: This paper contributes to understanding how social networks address information asymmetry in sales transactions where conventional mechanisms are not able to cost-effectively do so. Originality: This paper is extracted from the first author’s PhD research on liquidity in commercial real estate markets. Social networks have been explored in business and built environment, but there are no previous studies that have sought to understand social networks in office sales markets
Recognizing 3-D Objects Using Surface Descriptions

The authors provide a complete method for describing and recognizing 3-D objects, using surface information. Their system takes as input dense range date and automatically produces a symbolic description of the objects in the scene in terms of their visible surface patches. This segmented representation may be viewed as a graph whose nodes capture information about the individual surface patches and whose links represent the relationships between them, such as occlusion and connectivity. On the basis of these relations, a graph for a given scene is decomposed into subgraphs corresponding to different objects. A model is represented by a set of such descriptions from multiple viewing angles, typically four to six. Models can therefore be acquired and represented automatically. Matching between the objects in a scene and the models is performed by three modules: the screener, in which the most likely candidate views for each object are found; the graph matcher, which compares the potential matching graphs and computes the 3-D transformation between them; and the analyzer, which takes a critical look at the results and proposes to split and merge object graphs. >
An Alternative Approach for Studying Public Policy: The Case of Municipal Implementation of Active Labour Market Policy in Denmark

Different types of policies are affected by different contextual conditions and carry with them different possibilities for implementation. Studies of implementation processes must therefore take as its point of departure the context attached to specific policies. In this article we present an alternative approach for how to analyse the implementation of public policies characterized by high politics and a ‘wicked’ problem structure (e.g. active labour market policies, curative social care, housing policies for the homeless and educational policies providing equal advancement of different socio-economic groups). In addition we develop an analytical perspective in which evaluation of implementation processes can both assist political decision-making and contribute to public discourse. The aim of our approach is to identify implemented policy content (actual policy outcome 1 ) by evaluating different kinds of indicators. The process involves identifying dominant policy arguments, constructing analytical dimensions of possible developments in policy content and characterising implemented policy along these dimensions. 2 The policy content may then be contrasted with different types of evaluation criteria, also including higher order criteria. The application of the model is illustrated by a case of implementation of municipal labour market policy in Denmark. 3
Nonlocal Pixel Selection for Multisurface Fitting-Based Super-Resolution

In this paper, we address a super-resolution (SR) problem that constructs a high-resolution (HR) frame/image from a short sequence of low-resolution (LR) frames/images. It is well known that SR is a difficult problem, especially when the number of LR inputs is small. In particular, our previous work involving multisurface fitting-based SR exhibits relatively poor performance in the above case. To cope with this problem, we take advantage of nonlocal pixels to fit local surfaces. The pixels from nonlocal spatial-temporal positions are selected and weighted based on patch similarity and outlier removal. With this method, the fitted surfaces become more elaborate so that more details can be retrieved in SR results. Experiments demonstrate that the proposed method is very effective in producing HR frames through a small number of LR inputs when compared with some state-of-the-art methods.
Customers, accounting and strategy: the case of a UK SME

This paper illustrates that the linking of Customer Relationship Management, Customer Profitability Analysis and Portfolio Management can make a positive impact on the development of strategy in a SME. The integration of marketing and financial systems, inculcating a customer focused culture and encouraging and facilitating cross-functional interaction enabled the collection, dissemination and review of customer related information to become part of the organisational routines. The case study research took place over the course of one year and involved 20 interviews, access to documentary evidence and the observation of quarterly meetings. The main document and discussion at the quarterly meetings provided a review of the customers from a profitability and relationship viewpoint with the resultant decisions being reflected in a three year rolling forecast that translated the emergent strategy into financial terms. Using this approach the staff achieved a profits growth of 45% per annum.
Freemium or Paid? The Impact of Firm Experience and App Data on the Revenue Streams of Mobile Gaming Apps

Mobile gaming accounts for approximately 40% of all revenues generated by apps. Although they thus constitute the primary driver of revenues, extant literature seldom examines the revenue models of gaming apps. In response, this study investigates if the mobile gaming revenue model influences revenues and whether other factors might explain higher or lower revenues for gaming apps, especially technological and market experience. The results reveal no influence of the revenue model on revenues, which instead depend on the users, their social recommendations, and the prices of in-game extras or of the app. Publishers can influence revenue generation positively or negatively though, by using their market experience, e.g. a previously published brand. Technological Experience has no influence so far.
The Restoration Technique for Recognition of Asterias Amurensis

Asterias amurensis, also referred to as the Northern Pacific seastar, is so indiscriminate a predator that it deserves to be called pirates of the sea. They usually eat fish and shellfish including abalones and clams. Due to the high fertility rate, Asterias amurensis is one of the main culprits in devastating fishing grounds. Starfish are anywhere in the East Sea and South Sea. In recent years, however, their number has sharply increased in the West Sea. This paper aims to recognize and extract deformed Asterias amurensis through the use of the concave and convex feature points, central moment, and short lines and long lines. Another purpose of this paper is to restore Asterias amurensis using the radial symmetry. Marked by the characteristics that include pentaradiality and the ability to vary in outward shapes according to circumstances, Asterias amurensis is hard to recognize. With this in mind, this paper propose a simple method for improve rates of recognition of starfish. It will not be long before the restoration method proposed in this paper is of great help in eradicating Asterias amurensis.
Stability Guaranteed Time-Delay Control of Manipulators Using Nonlinear Damping and Terminal Sliding Mode

Time-delay control has been verified as a simple and robust controller for robot manipulators. However, time-delay estimation (TDE) error inherently exists and critically affects both the closed-loop stability and control performance. In this paper, we propose a remedy for the TDE error that involves a combination of a nonlinear damping component and a novel fast-convergent error dynamics. Nonlinear damping incorporated with a backstepping design is adopted to counteract TDE error and ensure closed-loop stability. The fast-convergent error dynamics, constructed by means of terminal sliding mode (TSM), is introduced to enhance the control performance degraded by the TDE error. Through a rigorous stability analysis, it is proved that the tracking error of the closed-loop system due to the proposed control scheme is globally uniformly ultimately bounded. Through simulations and experiments, it is verified that the nonlinear damping counteracts the TDE error, while the TSM speeds up the convergence of the error dynamics. Finally, these two elements together substantially enhance the control accuracy.
Optimization of linear and nonlinear full vehicle model for improving ride comfort vs. road holding with the Bees Algorithm

A generalized nonlinear model is formulated for the dynamic analysis of model 9 DOF road vehicle with active suspension systems. The model incorporates a nonlinear suspension spring and nonlinear damping force for active dampers and so, the linear model is formulated similar to Bouzara model. The active dampers are characterized by force generators in accordance with the control laws based upon suspension mass velocity. So, This paper reports on an investigation to determine the spring and damper settings that will ensure optimal ride comfort and road holding road vehicle, on different road profiles and at different speeds for linear and nonlinear vehicle models. The extent to which the ride comfort optimal suspension settings vary for roads of different roughness and varying speeds and the levels of ride comfort and road holding that can be achieved, are addressed. The issues of the best objective function to be used when optimizing and if a single road profile and speed can be used as representative conditions for ride comfort optimization of passive, semi-active and active suspensions, are dealt with. Optimization is performed with the Bees algorithm on a vibration model 9 degree of freedom for speeds ranging from 30 to 90 km/h. It is found that optimizing for a combined driver plus rear passenger seat weighted root mean square vertical acceleration rather than using driver or passenger values only, returns the best results.
Analyst coverage and corporate tax aggressiveness

We examine the impact of analyst coverage on corporate tax aggressiveness. To address endogeneity concerns, we perform a difference-in-differences analysis using a setting which causes exogenous decreases in analyst coverage. Our tests identify a negative causal effect of analyst coverage on tax aggressiveness, suggesting that higher analyst coverage constrains corporate tax aggressiveness. Further cross-sectional variation tests find that this constraining effect on tax aggressiveness is more pronounced in firms with lower investor recognition and firms with more opaque information environments. Our results are consistent with the notion that higher analyst coverage increases the visibility of aggressive tax planning behavior as well as heightens analysts’ demand for more transparent information, which in turn reduces tax aggressiveness.
Information content of credit default swaps : price discovery, risk transmission, and news impact

This thesis comprises three empirical studies regarding information content of credit default swap (CDS). The first study provides further evidence of credit risk discovery between CDS and stock of the U.S. non-financial firms. Stock generally leads CDS in discovering credit risk information, with the exception of the stressful financial crisis period of 2008–2010. The CDS of investment-grade firms generally possesses higher informational efficiency than that of speculative-grade firms. High funding cost and central clearing counterparty hinder CDS from rapidly incorporating credit risk news. The second study investigates dynamics and determinates of credit risk transmission across the global systemically important financial institutions (G-SIFIs). The aggregate credit risk transmission across G-SIFIs dramatically increases from mid-2006 to mid-2008 and then fluctuates around 90% until 2014. Global systemically important banks (G-SIBs) and the U.S.–based G-SIFIs are major credit risk providers. More interbank loans, more non-banking income, higher extra loss absorbency requirement, and lower Tier 1 leverage ratio are positively related to a G-SIB’s role in credit risk transmission. Global systemically important insurers (G-SIIs) which have more non-traditional non-insurance activities, larger sizes, and more global sales tend to be credit risk senders. The final study examines the impact of sovereign credit rating and bailout events on sovereign CDS and equity index, especially their contemporaneous correlation, in the U.S., the U.K., and the Eurozone countries. The two assets are less negatively correlated at the arrivals of domestic rating events or surprises. Good and bad rating events present asymmetric effects on the asset correlation in Portugal, Netherlands, Ireland, Finland, and the U.S., while their symmetric effects are found in Spain, Italy, and Cyprus. Two assets become more negatively correlated on the announcement days of major bailouts. Bailout events have a stronger impact than domestic rating events. Greek rating news exerts spillover effect and generally has positive impact on the asset correlation in other economies.
Towards Software Support for Collaborative Morphological Analysis

Today’s knowledge workers regularly face ill-structured, non-routine wicked problems such as strategy development, product innovation or policy design. Morphological analysis (MA) is a versatile problem structuring method that helps teams to build a shared understanding of an issue, generate solution ideas and support decision-making. However, existing MA software has two major drawbacks given the high prevalence of teamwork in modern organizations: (1) it only provides a single user interface and (2) it neglects established practices to improve group performance and creativity because there is no collaboration support. I propose extensions of the classical process model for morphological analysis to incorporate findings from cognitive and social psychology that may serve as a basis for collaborative MA software implementations and discuss the underlying design decisions.
A Differential Medium for the Enumeration of Homofermentative and Heterofermentative Lactic Acid Bacteria

A medium was developed for the differential enumeration of homofermentative and heterofermentative lactic acid bacteria. Essential components of the medium included fructose (14 mM), KH2PO4 (18 mM), bromcresol green (as a pH indicator), and other nutrients to support growth. In agar medium, homofermentative colonies were blue to green, while heterofermentative colonies remained white. A total of 21 Lactobacillus, Pediococcus, Leuconostoc, and Streptococcus species were correctly classified with the medium.
P2X3 is expressed by DRG neurons that terminate in inner lamina II

The P2X3 receptor subunit, a member of the P2X family of ATP‐gated ion channels, is almost exclusively localized in sensory neurons. In the present study, we sought to gain insight into the role of P2X3 and P2X3‐containing neurons in sensory transmission, using immunohistochemical approaches. In rat dorsal root ganglia (DRG), P2X3‐immunoreactivity (‐ir) was observed in small‐ and medium‐sized neurons. Approximately 40% of DRG neuronal profiles in normal rats contained P2X3‐ir. In rats that had received neonatal capsaicin treatment, the number of P2X3‐positive neurons was decreased by approximately 70%. Analysis of the colocalization of P2X3‐ir with cytochemical markers of DRG neurons indicated that approximately 94% of the P2X3‐positive neuronal profiles were labelled by isolectin B4 from Bandeiraea simplicifolia, while only 3% contained substance P‐ir, and 7% contained somatostatin‐ir. In dorsal horn of rat spinal cord, P2X3‐ir was observed in the inner portion of lamina II and was reduced subsequent to dorsal rhizotomy, as well as subsequent to neonatal capsaicin treatment. Finally, P2X3‐ir accumulated proximal to the site of sciatic nerve ligation, and was seen in nerve fibres in skin and corneal epithelium. In summary, our results suggest that P2X3 is expressed by a functionally heterogeneous population of BSI‐B4‐binding sensory neurons, and is transported into both central and peripheral processes of these neurons.
Economic Aspects of Bitcoin and Other Decentralized Public-Ledger Currency Platforms

A number of internet-based digital currency platform based on decentralized public ledgers have started since the introduction of the blockchain concept by the founder of Bitcoin in 2008. An important element of these public ledger platforms is an incentive system that elicits efforts from a distributed global workforce to verify and record transactions on the public ledger and a governance system for the platform. The economic efficiency and possibly viability of a public ledger platform ultimately depend on the design of these incentive and governance systems. Even if a decentralized public ledger were a more efficient technology for conducting financial transactions, and for providing a platform for distributed innovation, deficiencies in its incentive and governance systems could make it overall inferior to alternatives, including existing systems. Current claims that public ledger platforms can conduct financial transactions more efficiently ignore the inefficiencies associated with the incentive and governance systems and the likely costs associated with regulation of these platforms and complementary service providers such as vaults, wallets, and exchanges. It is possible that public ledger platforms are more efficient than other alternative platforms for conducing financial transactions, but as of now the proposition is based on apples-to-oranges comparisons compounded with speculation. Competition will lead to better incentive and governance systems for public ledger platforms.
Value creation from circular economy-led closed loop supply chains: a case study of fast-moving consumer goods

Abstract The role of closed loop supply chains (CLSC) for creating and recovering value is widely acknowledged in supply chain management and there are many examples, mainly in the business-to-business sector, of successful OEM remanufacturing. The integration of value creation and recovery activities into retail customer value propositions is, however, under researched and raises many challenges, especially in Fast-Moving Consumer Goods (FMCG) retail where few real-world examples have been published. The recent emergence of the term ‘circular economy’ has initiated further debate about closed loop value propositions and closed loop supply chain implications. This paper selects four circular economy-led closed loop product case examples from a major European FMCG company, and assesses, at a high level, how these cases created value, for whom value was created, and key challenges in their implementation. The findings highlight that each case is different. Closing loops and creating successful value propositions is complex and requires simultaneous reconfiguration of key building blocks to ensure customer acceptance and business viability. The paper proposes the term ‘circular supply chain’ for cases where circular economy principles are explicitly incorporated in CLSC for value creation.