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The purpose of this paper is to explain how enterprise resource planning (ERP) implementation evolves by cloud computing in different industries with different delivery models of cloud ERP. This paper also investigates infrastructure as a service (IaaS) as a delivery approach for cloud ERP. Case research on IaaS is rarely found in the literature. In addition, this paper intends to reveal how this transformation from on-premises to the cloud would influence the ERP implementation process.

A multiple-case study is conducted to identify the different deployed models of cloud ERP systems in the implementation projects. The influences of emerging cloud computing technology on ERP implementation are investigated by interviewing consultants related to the projects.

The findings illustrate that not only software as a service (SaaS) but also IaaS and platform as a service cloud computing services are widely applied in cloud ERP implementation. This study also indicates that certain technical limitations of cloud ERP might have a positive effect on the outcome of ERP implementation.

This study investigates how cloud computing influences ERP implementation from different aspects. The result identifies both SaaS and IaaS as two different approaches widely adopted in cloud ERP implementation. Besides, this study has discussed in-depth and analyzed these two cloud ERP paradigms in five factors, including functionality, performance, portability, security, cost and customization. The classification and suggestions are original to the literature.

The purpose of this study to improve the efficiency of customer acquisition and retention through the design of salary information disclosure mechanism.

This study develops a stylized game-theoretic model of delegating customer acquisition and retention, focusing on how firms choose delegation and wage information disclosure strategy.

The results confirm the necessity for enterprises to disclose salary information. When sales agents are risk neutral, firms should choose multi-agent (MA) delegation and disclose their wages. However, when agents are risk averse, firms may disclose the wages of acquisition agents or both agents in MA delegation, depending on the uncertainty of the retention market.

This paper contributes to the literature on delegation of customer acquisition and retention and demonstrates that salary disclosure can be used as a supplement to the incentive mechanism.

The ceramic tile chain can generate several environmental impacts, from raw material extraction to the production process, commercialization, consumption, maintenance and disposal. One of the open issues remaining in the literature on socially responsible supply chains, also known as responsible supply chains, is understanding how corporate social responsibility (CSR) practices are being implemented in ceramic tile companies in Brazil.

The method adopted is a multiple-case study. The authors conducted face-to-face interviews with six ceramic producers and a trade association. The authors also conducted eight interviews with specialists in the ceramic sector. They are two university professors, two class association representatives, one professional from a technological institute, two representatives of the inspection body and one supplier.

Companies perform on a compliance basis, manifesting a less proactive position when the subject is CSR. In addition, the CSR practices established by the companies are preferably aimed at reducing costs and risks and increasing reputation. Practices in terms of eco-design are linked to lowering costs and growing reputation, as seen from the reduction in the use of inputs and improvements in packaging to minimize costs. These practices improve the company’s reputation from the consumers' perspective. Environmental aspects are dominant due to the legislation.

This paper contributes theoretically since it identifies, from the companies' perspective, the CSR practices related to risk, cost reduction and reputation increase. There are also opportunities to be explored for facilitating their efforts towards a sustainable business model, especially considering the social dimension. From a managerial perspective, this paper provides some input for implementing CSR actions, mainly regarding their implications for society and local communities.

La cadena de revestimiento cerámico puede generar diversos impactos ambientales, desde la extracción de la materia prima hasta el proceso de producción, comercialización, consumo, mantenimiento y disposición. Una de las cuestiones abiertas que quedan en la literatura sobre cadenas de suministro socialmente responsables, también conocidas como cadenas de suministro responsables, es comprender cómo se están implementando prácticas de responsabilidad social empresarial en las empresas de revestimientos cerámicos en Brasil.

El método utilizado en el estudio es un estudio de casos múltiples. Realizamos entrevistas cara a cara con 6 productores de cerámica y una asociación comercial. También recibimos información de 8 especialistas representantes de organizaciones relacionadas con el sector cerámico; 2 profesores universitarios; 2 representantes de asociaciones de clase; 1 profesional de instituto tecnológico; 2 representantes del organismo de control; y 1 proveedor de esmaltes.

Las empresas actúan sobre la base del cumplimiento, manifestando una posición menos proactiva cuando el tema es la RSE. Además, las prácticas de RSC establecidas por las empresas están preferentemente encaminadas a la reducción de costes y riesgos y al aumento de la reputación. Las prácticas en materia de ecodiseño están esencialmente ligadas a la reducción de costos y al aumento de la reputación, a partir de la reducción en el uso de insumos y mejoras en los empaques para minimizar costos. Estas prácticas mejoran la reputación de la empresa desde la perspectiva de los consumidores. Los aspectos ambientales son dominantes debido a la legislación.

Este trabajo aporta teóricamente ya que identifica, desde la perspectiva de las empresas, las prácticas de RSE relacionadas con el riesgo, la reducción de costos y el aumento de la reputación. También hay oportunidades por explorar para facilitar sus esfuerzos hacia un modelo de negocio sostenible, especialmente teniendo en cuenta la dimensión social. Desde la perspectiva gerencial, este documento proporciona algunos insumos para la toma de decisiones sobre la implementación de acciones de RSE, principalmente en lo que respecta a las implicaciones para la sociedad y las comunidades locales.

As to different angles of attack and nonlinear problems caused by high temperatures in coexisting hypersonic aircraft, people mainly rely on fluid software for research but lack analysis of flow mechanisms. Owing to computational difficulties, few people use numerical algorithms to combine them for discussion. Hence, this study aims to make a deep inquiry into the laminar flow and heat transfer of compressible Newtonian fluid in hypersonic aircraft with small attack angles.

In this paper, on the basis of mass, momentum and energy conservation laws, the governing equations of the hypersonic boundary layer are established. Viscosity, specific heat capacity and thermal conductivity are considered nonlinear functions concerning temperature. In virtue of the MacCormack finite difference method, the stationary numerical solutions are solved directly, and the validity of the algorithm is verified.

The results demonstrate that at Mach number 5, compared to the 0° attack angle, the maximum temperature near-wall at the 3° attack angle increases by about 25%. An enjoyable phenomenon is discovered, where the position corresponding to the maximum wall shear force shifts back as the attack angle and Mach number increase. The relationship between the near-wall maximum temperature versus attack angle and Mach number is fitted through numerical calculation results.

Empirical formulas can be used to estimate heat transfer characteristics at small attack angles, which will guide the design of aircraft thermal protection systems.

Much prior work involving director incentives and corporate behaviour has been focussing on their absolute dollar value or the intrinsic value and generated mixed findings. Comparison theories, however, suggest that the relative value of an incentive may be the main drive for individual performance. This study attempts to investigate the role of director relative pay in promoting the board’s intervention with unrelated diversification decisions.

The analysis uses data from firms operating in more than one segment during the period from 1999 to 2019. Data were obtained from WRDS databases. Ordinary least squares (OLS) regression analysis and the two-stage system generalized method of moments (GMM) were run to test the hypotheses. To test the robustness of the findings, alternative proxies for the key independent variables were used in separate analyses.

The results support the hypothesis that unrelated diversification negatively impact firm performance, while higher director relative pay will help reduce unrelated business diversification. The absolute director pay, however, has no significant impact on corporate strategic choices. The results also highlight the moderating effect of director overcompensation. Director overcompensation will cancel out the impact of relative director pay on unrelated diversification.

This study takes a fresh theoretical perspective by framing the investigation using the dimensional comparison theory to address the single untended comparison framework in the director pay structure – the intra-individual framework. It is the first to investigate the role of director relative pay in corporate strategic choices. The findings support the contention that the relative value of the incentive is an important indicator of the effectiveness of the pay.

This paper aims to propose an effective dynamic calibration and compensation method to solve the problem that the statically calibrated force sensor would produce large dynamic errors when measuring dynamic signals.

The dynamic characteristics of the force sensor are analyzed by modal analysis and negative step dynamic force calibration test, and the dynamic mathematical model of the force sensor is identified based on a generalized least squares method with a special whitening filter. Then, a compensation unit is constructed to compensate the dynamic characteristics of the force measurement system, and the compensation effect is verified based on the step and knock excitation signals.

The dynamic characteristics of the force sensor obtained by modal analysis and dynamic calibration test are consistent, and the time and frequency domain characteristics of the identified dynamic mathematical model agree well with the actual measurement results. After dynamic compensation, the dynamic characteristics of the force sensor in the frequency domain are obviously improved, and the effective operating frequency band is widened from 500 Hz to 1,560 Hz. In addition, in the time domain, the rise time of the step response signal is reduced from 0.29 ms to 0.17 ms, and the overshoot decreases from 26.6% to 9.8%.

An effective dynamic calibration and compensation method is proposed in this paper, which can be used to improve the dynamic performance of the strain-gauge-type force sensor and reduce the dynamic measurement error of the force measurement system.

This study aims to propose a risk-induced game theoretic forecasting model to predict average daily rate (ADR) under COVID-19, using an advanced recurrent neural network.

Using three data sets from upper-midscale hotels in three locations (i.e. urban, interstate and suburb), from January 1, 2018, to August 31, 2020, three long-term, short-term memory (LSTM) models were evaluated against five traditional forecasting models.

The models proposed in this study outperform traditional methods, such that the simplest LSTM model is more accurate than most of the benchmark models in two of the three tested hotels. In particular, the results show that traditional methods are inefficient in hotels with rapid fluctuations of demand and ADR, as observed during the pandemic. In contrast, LSTM models perform more accurately for these hotels.

This study is limited by its use of American data and data from midscale hotels as well as only predicting ADR.

This study produced a reliable, accurate forecasting model considering risk and competitor behavior.

This paper extends the application of game theory principles to ADR forecasting and combines it with the concept of risk for forecasting during uncertain times.

This study is the first study, to the best of the authors’ knowledge, to use actual hotel data from the COVID-19 pandemic to determine an appropriate neural network forecasting method for times of uncertainty. The application of Shapley value and operational risk obtained a game-theoretic property-level model, which fits best.

The preferences and adoption of recycled materials by consumers are subject to a variety of factors, such as enablers and barriers. Despite this, there exists a paucity of research concerning stakeholders' perceived value and real purchase decision towards recycled products. Consequently, this research study aims to fill this gap by investigating stakeholders' perceived value of recycled products derived from construction and demolition (C&D) waste and its effect on purchase decisions.

Research data were collected from 219 valid questionnaires completed by Chinese stakeholders. Structural equation modeling (SEM) was then employed to test eight hypotheses.

The results show intrinsic cue (materials) and extrinsic cue (brand) influence the stakeholders’ judgment on C&D waste recycled products’ value and then their purchase intention. However, cues such as quality, word-of-mouth, price, policy and advertised have not play a significant role in practice.

This research study verified the significance of brand and material cues on decision making for purchasing C&D waste recycled products, providing new insights to policy making to enhance the uptake of C&D waste recycled products in construction industry.