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This study develops an empirical framework to address how large third-party sellers (TPSs) can apply customer acquisition strategies to improve their performance in consumers’ person-goods matching process and how the platform firm’s similar strategies moderate the effects of TPSs’ strategies.

Using data collected from the top ten TPSs from a Chinese e-commerce platform, the fixed effect model is used to validate the conceptual model and hypotheses.

The study results show that both market detection strategy and matching optimization strategy can help large TPSs improve their sales performance. Moreover, the similar market detection strategy applied by the platform firm weakens the effect of large TPSs’ customer acquisition strategies, while the similar matching optimization strategy applied by the platform firm strengthens the effect of large TPSs’ customer acquisition strategies.

This study provides firsthand evidence on the performance of large TPSs’ and the platform firm’s strategies. It demonstrates the effectiveness of large TPSs’ market detection strategy and matching optimization strategy, which can be adopted to meet consumers’ search and evaluation motivations in their person-goods matching process respectively. Moreover, it identifies the role of platform firms by showing the moderating effect of similar strategies adopted by the platform firm on the effect of large TPSs’ customer acquisition strategies.

This paper aims to identify the factors that can affect the overall graduate employability (OGE) of the private university graduates of Bangladesh. The authors carefully selected six such employable factors after searching the existing literature. Those six factors: academic performance (AP), technical skills (TS), communication skills (CS), personality (PE), leadership & motivational skills (LMS); and teamwork and problem solving skills (TPSS), had been considered as the independent variables while OGE had been considered as the single dependent variable.

The authors collected the primary data from a valid sample of 360 employers through a structured questionnaire working as the hiring managers. Those respondents were selected on a random basis. The authors used exploratory factor analysis to validate the items under those independent variables and structural equation modeling with AMOS (24) to test the hypothesized relationship between each independent variable and the dependent one.

After proper statistical analysis, the results revealed that AP, PE, CS and TPSS can positively and significantly influence the OGE of Bangladeshi graduates while LMS and TS have positive but insignificant influence over OGE.

Based on the findings, this paper can help scholars in further investigating the employability factors.

This explorative study will guide the fresh graduates in developing their required employability skills while assisting the employers in recruiting suitable candidates with the required skills and performance.

This is one of the few attempts that focused on the employability factors of private university graduates in Bangladesh. The authors are well confident that this empirical paper can shed some light on the fresh graduates’ employability and conducting further investigations on it.

The purpose of this study is to obtain a scheme for the numerical solution of Volterra integro-differential equations with time periodic coefficients deduced from the charged particle motion for certain configurations of oscillating magnetic fields.

The method reduces the solution of these types of integro-differential equations to the solution of two-dimensional Volterra integral equations of the second kind. The new method uses the discrete collocation method together with thin plate splines constructed on a set of scattered points as a basis.

The scheme can be easily implemented on a computer and has a computationally attractive algorithm. Numerical examples are included to show the validity and efficiency of the new technique.

The author uses thin plate splines as a type of free-shape parameter radial basis functions which establish an effective and stable method to solve electromagnetic integro-differential equations. As the scheme does not need any background meshes, it can be identified as a meshless method.

This paper aims to demonstrate the importance of a cash flow generating standard for individual financial contract level data and the ability to create such a standard.

The authors analyze the importance for such a standard of software that turns natural language contracts into cash flow generating algorithms; a data dictionary that standardizes contract terms; and access to variables that represent the state of the world (e.g. market risk, counterparty risk, etc.) that affect contractual obligations.

The ability to realize benefits from the use of such a contract level algorithmic standard depends on the following: making the standard’s software open source; fully testing the software to have complete confidence in its accuracy; and enabling the software to use of a wide range of models of various sources of risk (market, credit and behavior risk) to support forward-looking analysis. Such a standard would solve the disconnect that exists in financial firms between the representation of financial contracts for transaction processing and analysis. The ACTUS Financial Research Foundation is building, testing and making available such a standard that represents almost all financial contracts extant in markets.

The adoption of such a standard would reduce the costs of operations of financial firms, provide the computational infrastructure for more effective regulatory oversight, reduce regulatory reporting costs and improve financial market transparency. It would also enable the assessment of systemic risk by directly quantifying the interconnectedness of firms.

This is a new approach to financial analytics that clearly separates the deterministic components of finance, which can be standardized from the stochastic elements that cannot be standardized.

As responsibilities of high school principals continue to expand, their workweeks become longer, and their attention is stretched in multiple directions. How principals from various school types use their time is influenced by their organizational structures and external policies. To gain deeper insights into the workload, priorities and constraints faced by high school principals, this study examines principal time use (PTU) patterns across different school types, including traditional public schools (TPSs), charter schools, Catholic schools and non-Catholic private schools.

Drawing on the national representative data from the High School Longitudinal Study of 2009 in the USA, this study examines and compares PTU in various leadership tasks across different school types, controlling for school and principal characteristics.

Among various high school types, principals in TPS had the longest workweeks. However, the extended workweek did not necessarily result in significantly more hours or a larger proportion of their time dedicated to instructional leadership. Instead, TPS principals allocated more time to administrative tasks and student affairs than principals in other school types.

By examining PTU of different school types, this study adds new evidence on the influence of contextual factors on leadership behavior. It also offers policy implications to enhance principals’ capacities, alleviate their workload and to prioritize time use in different leadership domains.

In this chapter we open up questions about educational standardisation by thinking through the possibilities of the theoretical work on Totally Pedagogised Societies (TPSs) initially developed by Basil Bernstein (2001). In relation to new modes of teacher professionalism, including the introduction of standardisation measures, researchers have drawn on Bernstein's sociological concepts, including the concept of the TPS (Robertson & Sorenson, 2018). Studies, drawing on the concept of the TPS, have tended to focus on the power scape or power reach of international organisations into pedagogic acts across time space – from cradle to grave, in and out of schools. We seek here to move the analytical possibilities for TPS where the focus on the ‘total’ part of the concept is often read and understood as ‘totalising’ (see, for example, Gewirtz, Mahony & Hextall, 2009; Ball, 2009) and deterministic. Instead, we extend work on the TPS and theorise the redesign of standardisation.

This paper aims to investigate the competitiveness of Russian regional medium-sized oil complexes with relatively small fossil oil reserves. Taking into account the urgency for competitiveness, the authors have developed a specific assessment methodology and competitive development strategy that could be implemented within the framework of a scenario approach.

The suggested methodology for assessing the competitiveness of regional production complexes is based on the pattern method. Validation is provided for a modular structure and an approach to constructing indices of competitiveness of production complexes. A system of competitiveness indicators has been devised in relation to regional oil complexes.

The case study of the oil complex of the Republic of Udmurtia has yielded competitiveness assessment forecast for a variety of development scenarios up until 2025. A methodology of competitiveness assessment is proposed as a result of the analysis of the two cases.

This analysis is based on the oil complex in Udmurtia, Russia. The main limitation of the research scope is the extent and nature of the industrial complex. The proposed design can be used for large industrial complexes operating in the field of industrial production. It needs to be extended to more clusters, more industries and other countries’ settings for the sake of comparison and generalization.

The practical effects of the study suggest a set of strategic development tools of assessment of the dynamics of industrial complexes’ development, identification of competitive advantage and “bottlenecks” and definition of the objectives and programs of their long-term development and justification of policies and programs of perspective development.

This paper reveals specific features of oil complexes’ competitiveness, which has seldom been investigated both theoretically and empirically.

The traction cable is paralleled with the existing traction network of electrified railway through transverse connecting line to form the scheme of long distance power supply for the traction network. This paper aims to study the scheme composition and power supply distance (PSD) of the scheme.

Based on the structure of parallel traction network (referred to as “cable traction network (CTN)”), the power supply modes (PSMs) are divided into cable + direct PSM and cable + autotransformer (AT) PSM (including Japanese mode, French mode and new mode). Taking cable + Japanese AT PSM as an example, the scheme of long distance power supply for CTN under the PSMs of co-phase and out-of-phase power supply are designed. On the basis of establishing the equivalent circuit model and the chain circuit model of CTN, taking the train working voltage as the constraint condition, and based on the power flow calculation of multiple train loads, the calculation formula and process for determining the PSD of CTN are given. The impedance and PSD of CTN under the cable + AT PSM are simulated and analyzed, and a certain line is taken as an example to compare the scheme design.

Results show that the equivalent impedance of CTN under the cable + AT PSM is smaller, and the PSD is about 2.5 times of that under the AT PSM, which can effectively increase the PSD and the flexibility of external power supply location.

The research content can effectively improve the PSD of traction power supply system and has important reference value for the engineering application of the scheme.

The aim of this research is to examine the roles of trust and electronic word-of-mouth (e-WOM) in crowdfunding (CF) participation for equity CF by taking into account the following antecedents of trust and e-WOM: intrinsic motivation (IM), extrinsic motivation (EM), deterrents, venture quality (VQ), third-party seal (TPS), value congruence (VC) and perceived accreditation (PA).

In this research, a survey among 408 active and potential funders in Iran was conducted. The statistical analysis used partial least squares structural equation modeling (PLS-SEM).

The results of this research revealed a significant influence of trust and e-WOM on participation in CF for equity CF. Extrinsic motivation had the greatest impact on trust and VC had the greatest impact on e-WOM.

This research extends the equity CF research area to CF success and considers the effects of some parameters on CF participation. This research provides many theoretical and practical implications.

For a thermal protection system (TPS) of long endurance hypersonic flight vehicle (HFV), its thermal insulation property not only determines by the manufactured morphology but also changes along time. A thermal conductivity prediction model for aerogel considering heat treatment effect is carried out and applied to solve the heat conduction problem of a TPS. The aim of this study is to provide theoretical and numerical references for further development of aerogels applying to TPSs.

A thermal conductivity prediction model for aerogel is established considering treatment effect. The heat conduction problem of a TPS is derived and solved by combining the differential quadrature method and the Runge–Kutta method. The prediction results of aerogel thermal conductivities are verified by comparing with those in literature, while the calculated temperature field of TPS is verified by comparing with that by ABAQUS.

Numerical results show that when applying the current prediction model, the calculated high temperature area in the aerogel layer is narrowed due to the decrease of the thermal conductivity during heat treatment process.

This study will be beneficial to carry out the precise design of TPS for long endurance HFVs.