Miracle-dz/UniFAR-FTUs huggingface dataset:
Actions speak louder than words: Imputing users’ reputation from transaction history

The choice of market mechanism is key to success for any online marketplace. In recent years, as peer‐to‐peer (P2P) lending has seen phenomenal growth, leading P2P lending platforms have used various market mechanisms and, in some cases, even switched from one mechanism to another, chasing higher market share and overall growth. While Prosper.com, a leading P2P lending platform, has switched from the auction lending model to a fixed price lending model, recent studies show that overall social welfare was higher with the auction lending model. While the auction lending model gives more power to the lenders, the success of the auction lending model hinges on the accuracy of lenders’ assessment of the credit risk of the borrowers. Building on extant literature and in support of the auction lending model to increase social welfare, we design an artifact to dynamically estimate borrower reputation to help the lenders and improve the allocative efficiency in P2P lending markets. We posit that borrowers’ reputation built on transactional data, readily available on P2P lending platforms, represents the collective perception of the lenders about the borrowers. We propose a dynamic latent class model of reputation and use the latent instrumental variable approach to deal with endogeneity. We test our artifact using real‐world P2P lending data. We show that accounting for reputation improves the model's explanatory power and provides a way to empirically model the evolution and impact of reputation in online platforms where repeated transactions are performed.
Prolifera‐Green‐Tide as Sustainable Source for Carbonaceous Aerogels with Hierarchical Pore to Achieve Multiple Energy Storage

The increasing demand for efficient energy storage and conversion devices has aroused great interest in designing advanced materials with high specific surface areas, multiple holes, and good conductivity. Here, we report a new method for fabricating a hierarchical porous carbonaceous aerogel (HPCA) from renewable seaweed aerogel. The HPCA possesses high specific surface area of 2200 m2 g−1 and multilevel micro/meso/macropore structures. These important features make HPCA exhibit a reversible lithium storage capacity of 827.1 mAh g−1 at the current density of 0.1 A g−1, which is the highest capacity for all the previously reported nonheteroatom‐doped carbon nanomaterials. It also shows high specific capacitance and excellent rate performance for electric double layer capacitors (260.6 F g−1 at 1 A g−1 and 190.0 F g−1 at 50 A g−1), and long cycle life with 91.7% capacitance retention after 10 000 cycles at 10 A g−1. The HPCA also can be used as support to assemble Co3O4 nanowires (Co3O4@HPCA) for constructing a high performance pseudocapacitor with the maximum specific capacitance of 1167.6 F g−1 at the current density of 1 A g−1. The present work highlights the first example in using prolifera‐green‐tide as a sustainable source for developing advanced carbon porous aerogels to achieve multiple energy storage.
A Two-Level Evaluation of Mobile Travel Websites Using the Visitor Experience and the Brand Presentation

With global mobile phone usage at an all-time high, people are traveling and making travel plans on their wireless devices while on the go. This research looks at how travel websites present their offerings on smartphones. It considers the promotion and, more specifically, the branding of the travel industry leaders from a consumer’s mobile phone. The authors explored how the travel websites present and promote on mobile devices and the difference between these travel offerings when viewed on mobile websites. This study considered that shopping for airfare and hotel rooms was within a few clicks on anyone’s mobile phone today. The researchers considered the best practices and recommendations for mobile users and the top ten companies providing this experience. The researchers reviewed Expedia Group and Booking Holdings (formerly Priceline) families of travel brands, as well as other top brands’ mobile websites. The websites were evaluated using criteria from a recent rubric of digital marketing in a service industry. The presentation of the brands on these mobile websites was then evaluated using a custom set of criteria to rate their achievement in this area. In both areas of the criteria, the Expedia family of brands was rated<br>the highest.
Comparing Automated Content Analysis Methods To Distinguish Issue Communication by Political Parties on Twitter

Party competition in Western Europe is increasingly focused on “issue competition”, which is the selective emphasis on issues by parties. The aim of this paper is to contribute methodologically to the increasing number of studies that deal with different aspects of parties’ issue competition and communication. We systematically compare the value and shortcomings of three exploratory text representation approaches to study the issue communication of parties on Twitter. More specifically, we analyze which issues separate the online communication of one party from that of the other parties and how consistent party communication is. Our analysis was performed on two years of Twitter data from six Belgian political parties, comprising of over 56,000 political tweets. The results indicate that our exploratory approach is useful to study how political parties profile themselves on Twitter and which strategies are at play. Second, our method allows to analyze communication of individual politicians which contributes to classical literature on party unity and party discipline. A comparison of our three methods shows a clear trade-off between interpretability and discriminative power, where a combination of all three simultaneously provides the best insights.
Cumulative Prospect Theory Portfolio Selection

We introduce elements of Cumulative Prospect Theory into the portfolio selection problem and then compare stock portfolios selected under the behavioral approach with those selected according to classical approaches, such as Mean Variance and Mean Absolute Deviation ones. The mathematical programming problem associated to the behavioral portfolio selection is highly non-linear and non-differentiable; for these reasons it is solved using a Particle Swarm Optimization approach. An application to the STOXX Europe 600 equity market is performed.
Effects of Tax Leakages on Economic Development of Nigeria

This study examined the effects of tax leakages on economic development of Nigeria during the period 2008-2017. Specifically, it investigated how tax evasion and avoidance influenced economic development measured by gross domestic product per capita, infant mortality and life expectancy. In pursuit of the objectives of this study, three hypotheses were formulated and tested using secondary data obtained from the Central Bank of Nigeria, Federal Inland Revenue Service, World Bank Statistical Bulletins and National Bureau of Statistics. This study is based on time series data. The Augmented Dickey Fuller was used to test the time series data for stationarity. Ordinary Least Square regression was employed in the analysis of the data. The findings of this study confirmed that tax leakage has a significant negative effect on economic development in Nigeria at 5% level of significance. On the basis of the findings, it was recommended among others that federal government should judiciously make use of tax proceeds to provide basic amenities for the citizens, such as health care, school and so on; as this would curb the rate of infant mortality and improve the rate of tax compliance among the tax payers.
Quality Signaling through Crowdfunding Pricing

Problem definition: This paper studies an entrepreneur’s pricing strategy in a reward-based crowdfunding campaign under asymmetric product quality information. We propose two signaling mechanisms and investigate how entrepreneurs can leverage their pricing strategy to signal a high-quality project. Academic/practical relevance: This problem is relevant to practice, as asymmetric quality information is a significant concern in reward-based crowdfunding. High-quality entrepreneurs seek credible mechanisms to signal the quality of projects to customers. Methodology: We develop a stylized game-theoretic signaling model with funding and regular selling periods that captures asymmetric quality information between an entrepreneur and customers. Results: We propose a new theory on quality signaling in crowdfunding. We show that contingent access to the regular selling market after running a successful crowdfunding campaign allows high-quality entrepreneurs to signal their quality through low funding prices (one-price signaling). A high-quality entrepreneur can increase his funding price and still signal his high-quality level if he commits to the future regular selling price (two-price signaling). We show that the distinct feature of crowdfunding, that is, the probabilistic nature of crowdfunding, plays different roles in one- and two-price signaling. It is the driving force for the separating equilibrium in one-price signaling, and in two-price signaling, it affects how the entrepreneur should manipulate his funding and regular selling prices to reduce signaling cost. Managerial implications: Entrepreneurs should be mindful of pricing in funding and regular selling periods because it could play an essential role in signaling quality information. Our findings suggest practical tools for quality signaling in crowdfunding. We also investigate when price commitment is the most beneficial for a high-quality entrepreneur, looking for potential signaling mechanisms. Funding: W. Zhou acknowledges financial support from the National Natural Science Foundation of China [Grant 72192823 and Grant 71821002]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/msom.2022. 1177 .
Transaction Costs in an Illiquid Order-Driven Market

Transaction costs in many international equity markets are reported as being much larger than those in the U.S. This raises questions such as what trade size these reported trading costs relate to and whether investors can reduce trading costs by timing their trades. We show, using data from the order-driven New Zealand market that transaction costs are lower for larger trades and investors are able to reduce costs by timing their transactions. While investors who require immediate execution incur transaction costs that are much higher than reported average costs, patient investors can trade at much better rates.
High-Performance Computing Evaluation of Supervised Learning Models and Human Expert Criteria for Stock Screening Using Fundamental Factors

We have designed a High Performance Computation Fundamental Analysis Stock Screener and Ranker system (HPC.FASSR), build on PyCOMPSs to compare the performance of various supervised learning algorithms like Neural Networks, Random Forests, Support Vectors Machines, or AdaBoost, and well-known human expert trader's criteria for selecting stocks based on fundamental factors. The parallelization of HPC.FASSR with PyCOMPSs allows us to explore a huge number of configurations in a short time. We have run an extensive collection of experiments in MareNostrum 4, the main supercomputer in the Barcelona Supercomputing Center. Results show that, although the human expert beats the market, almost all well-tuned machine learning models beat the expert. This comes at the expense of resources taken from supercomputing, and hence, in a certain sense, our results give general support to reject a computational cost form of market efficiency, besides disputing a semi-strong form of the Efficient Market Hypothesis.
Evolution of Performance Management Systems and the Impact on Organization’s Approach: A Statistical Perspective

The Performance Management System (PMS) in an important aspect of any organization that being to measure the employees’ performance as against the vision, mission, developmental goals of an irrespective of the sector or type of an organization. The PMS is just not limited to performance appraisal system but also includes learning and development, training requirement, to enhance communication across the organization and its bridge between employee and employer for organizational development. In the recent past behavioral aspect of an employee, psychological well being, employee performance deviations, performance measurement and employee training needs to improve performance of organization as a whole included in the performance management of an organization. This study discusses an important aspect of the how to measure one of the performance management system components — employee performance using performance appraisal. This study also discusses various types of performance appraisal system measurements and their merits and demerits and suggested solutions to relieve the misery of untold stories. The study concludes providing meaningful suggestions on measurement of performance appraisal system.
The Impact of Time-Keeping Direction on Compensatory Consumption: The Role of Perceived Resource Deficiency

Time is a scarce resource, and time-keeping has become a common part of our lives. This research investigates the impact of exposure to a specific direction of time-keeping on resource deficiency perception and on compensatory consumption of calories. Results from four studies show that exposure to downward time-keeping (e.g. 60--&gt;1 seconds), compared to upward time-keeping (e.g. 1--&gt;60 seconds), results in a higher perceived resource deficiency, leading to a higher preference, consumption, and choice of caloric foods. The effect is attenuated for evaluation of calorie-lean foods, or by recalling instances of resourcefulness, or when time is not a resource (as in the case of waiting). Related alternate explanations are addressed. This research is the first to identify a novel antecedent of resource deficiency (i.e. time-keeping direction), and to elicit an unexplored aspect of temporal cognition, that exposure to direction of time-keeping can influence compensatory consumption in an unrelated domain. These findings contribute to the literature on temporal cognition and resource deficiency and may inspire further research in these domains.
Customer Performance Management: The Following Trends in Customer Management?

Customer Success Management (CSM) is a transcendent of customer management and therefore needs to be rigorously evaluated from a word of mouth into the current permutation. Three steps are used for the purpose of the current article. First, the article discusses the wider literature on customer management and situates CSM according to the general tradition of customer relationship, customer experience design and management, and customer engagement. The first articulations of the CSM in the literature are examined in the article. Thirdly, the article focuses on the management of goals, stakeholder management and learning management in order to raise original research questions and experimentation in management. In all, we provide evidence that CSM is the main player supported by the seller and not the customer and that the impact on corporate design and the customer is addressed.
Learning to Be Self-Employed: Specific Capital Accumulation, Labour Mobility, and the Choice of Self-Employment

Does the length of a worker’s prior experience as an employee later determine their choice of self-employment? If so, to what extent is this type of mobility attributable to genuine duration-dependence implied by specific capital accumulation? And then, what theoretical basis is the presence of specific capital attributable? <br><br>To answers these questions, this paper uses longitudinal HILDA survey data of Australian workers to estimate a dynamic random-effects panel probit model of the probability of self-employment and isolate the impact of genuine duration-dependence on the likelihood that employees increasingly choose self-employment with increasing job-tenure. In doing so, this paper makes a departure from the heterogeneity-based explanations for self-employment common in the entrepreneurship literature and, instead, expands upon the well-established rationales for labour mobility and job-turnover in labour economics. While employee job-change and labour market mobility has long attracted the attention of labour economists, existing models ignore self-employment as the outside option. Of particular interest, therefore, is whether duration-dependence influences the probability of employees becoming self-employed either because the relative appeal of outside self-employment opportunities increase as ‘better’ employee job-offers from external firms diminish (as implied by Jovanovic’s theory of job-matching), or because the prospective opportunities in self-employment become increasingly valuable (as implied by Becker’s human-capital theory). This paper finds compelling evidence that the choice of self-employment is driven by the same economic forces that determine job-change and labour mobility more broadly. But, rather than strengthening worker-firm relationships, duration-dependence attributable to specific capital accumulation acts as a ‘double-edged sword’ increasing the probability of employees becoming self-employed with prolonged tenure.
Remittances Macroeconomic Growth in a Developing Country

The significance of the flow of workers’ remittances in the economies of developing countries during the last few decades or so cannot be ignored at the face changing global order where most of the economies in the world are transforming themselves to the call of globalization and transmuting towards more open markets with freer flows of goods and factors across borders. The macroeconomic impacts of remittances flows on developing economies are not well understood. The paper is an attempt to understand the impact of inward remittances flows on per capita GDP growth in Bangladesh during 1974-2006. This study find that the growth effect of remittances is negative at first but becomes positive at a later stage- a strong evidence of a non-linear relationship. This could be due to unproductive use of remittances in the beginning followed by more productive utilization. Remittances positively affect per capita GDP growth in Bangladesh when the complementarity between remittances and financial development is incorporated into the analysis.
Television, Children's Obesity Risk and Mental Well-being: Lessons from the UK Digital Switchover

We examine the effect of screen-based activities on obesity and mental well-being for children, exploiting exogenous variation in the entry date of the digital television transition in the UK. The digital transition increased the number of available free television channels from 5 to 40, leading to an increase in television viewing time. Our results show that one additional year with access to digital television signal increases BMI z-scores by 0.159 standard deviations and the mental health total difficulties score by 2.13% among children. Underlying the net effects appears to be a decrease in physical activity among children, while neither eating habits nor personal views about self-appearance seem to play a signicant role.
The Capital Gains Lock-In Effect and Earnings Quality

The taxation of realized capital gains creates a lock-in effect, increasing an investor’s expected holding period. We show that the unrealized capital gains of mutual funds are positively associated with the earnings quality of their portfolio firms. Consistent with tax-induced lock-in, the effect of unrealized capital gains is more pronounced for mutual funds with tax-sensitive investors than for funds with tax-insensitive investors. Moreover, the positive effect of capital gains lock-in on earnings quality is stronger during periods when the capital gain tax rate is higher and for firms with highly concentrated mutual fund ownership. In sum, our findings suggest that locked-in mutual funds improve their portfolio firms’ earnings quality through more monitoring.
The Cyber Security Ecosystem: Defining a Taxonomy of Existing, Emerging and Future Cyber Threats

This report presents a new Cyber Threat Taxonomy, Cyber Attack Taxonomy and Knowledge-based Cyber Resilience Framework. The research shows that despite high-profile cases in the media and the push from government agencies and industry groups, the importance of understanding cyber threats and the associated risks are still not widely known (or at least not widely communicated within organisations). Adopting these models across industries would enhance our understanding of cyber security and enable organisations to improve communication, coordination, governance and recovery when managing cyber security. These taxonomies are built upon the result of a systematic literature review and empirical research, which provides an overview of the cyber security ecosystem. They incorporate the most up-to-date understanding of ‘cyber harm’ as an attempt to facilitate a more incisive understanding of Value at Risk in Cyberspace (VaRiC).
The Fiduciary Duties of User Agents

User agents are pieces of software that represent the user, a natural person, in their digital interactions. Examples include Web browsers, operating systems, single-sign-on systems, or voice assistants. User agents hold, due to the role they play in the digital ecosystem, a strategic position. They can be arbiters of structural power. The overwhelming majority of the data that is collected about people, particularly that which is collected passively, is collected through user agents, at times with their explicit support or at least by their leave. I propose to lean on this strategic function that user agents hold to develop a regime of fiduciary duties for them that is relatively limited in the number of actors that it affects yet has the means to significantly increase the power of users in their relationships with online platforms. The limited, tractable scope of software user agency as a fiduciary relationship provides effective structural leverage in righting the balance of power between individuals and tech companies.
Impact at the 'Bottom of the Pyramid': The Role of Social Capital in Capability Development and Community Empowerment

Rooted in the notion of inclusive capitalism, the Bottom-of-the-Pyramid (BoP) approach argues for the simultaneous pursuit of profit and social welfare by creating markets for the poor. This idea has both been celebrated and criticized in the literature. We do neither in this paper. Instead, by leveraging insights from Amartya Sen’s work on capability development and the literature on social capital, we offer a more socially embedded and community-centric BoP approach. By redefining poverty not just as a lack of income, but also a lack of “capabilities” in Sen’s sense that can be developed through leveraging social capital, we offer a systemic framework for understanding the societal impact of business-driven ventures in the BoP and empowering BoP communities through these ventures. Specifically, we argue that any business initiative in the BoP ought to be evaluated on the basis of whether it advances capability transfer and retention by a) enhancing the social capital between a particular community and other more resource rich networks and b) preserving the existing social capital in the community.