65 research outputs found

    Choose Your Friends Wisely: Complementarity and Supplementarity of IT Capabilities in IT Alliance Formation

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    While IT capabilities are an important concept in IS research, past studies often focus on the internal impacts of firms’ IT capabilities. Less is known about how firms’ IT capabilities drive their alliance formation with IT partners. This question is particularly pertinent to firms in non-IT industries as these firms often lack these important capabilities to succeed in the digital era. In this study, we combine the alliance literature and the organization-stakeholder fit theory to hypothesize a U-shaped relationship between the IT capabilities of non-IT firms and their alliance formation with IT partners. We further theorize a complex moderating role of environmental dynamism in this relationship. A panel data set of 8808 non-IT firms in 2012-2020 provides partial support to our theory. This study potentially contributes to the business value of IT literature as well as the alliance literature

    Power Distribution of IT Executives in the TMT: When Should It Be Equal?

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    The role of the top management team (TMT) and IT executives in organizing and leading digital innovation are increasingly recognized. However, past studies often focus on the role of IT expertise of TMT members. Relative power and interactions of the elite members remain under-researched. In this study, we draw on the literature on power distribution in the TMT to investigate the impact of power dispersion between IT executives and the TMT on digital innovation. We theorize that power dispersion has a non-linear, inverted U-shaped relation to digital innovation. Further, we introduce the moderating role of two relevant expertise of the IT executives, technological expertise and firm-specific expertise. Using panel data from US firms belonging to the list of top innovators, we find support for our theory. Our study offers potential contributions to the digital innovation literature as well as to research in IS leadership

    The influence of govermental management, customers and suppliers relationship to foreign direct investment companies’ performance in Binh Duong province: A qualitative study

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    Binh Duong province is becoming one of the most attractive locations for Foreign Direct Investment (FDI) firms of different origins, yet few studies have been conducted to investigate the several aspects related to FDI firms in Binh Duong. This research aims to evaluate the performance of FDI companies and understand the potential determinants of the performances by utilizing the exploratory approach. The research methodology is carefully designed to ensure the trustworthiness in data collection, coding and analysis. The study finds out four dimensions of Governmental Management: Managerial Political Ties, Institutional Support, Governmental Training Activities and Administrative Procedure that relate to FDI firm performance and competitive advantages. Furthermore, relationship with customers and suppliers manifest correlations with the performance and competitive advantage of FDI enterprises. Finally, this paper suggests some managerial implications for the governmental agencies to improve the current policies to attract more foreign investors. Specifically, FDI companies also get some valuable information when investing in the emerging market like Vietnam in general and Binh Duong province in particular

    Robust Adaptive Cerebellar Model Articulation Controller for 1-DOF Nonlaminated Active Magnetic Bearings

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    This paper presents a robust adaptive cerebellar model articulation controller (RACMAC) for 1-DOF nonlaminated active magnetic bearings (AMBs) to achieve desired positions for the rotor using a robust sliding mode control based. The dynamic model of 1-DOF nonlaminated AMB is introduced in fractional order equations. However, it is challenging to design a controller based on the model\u27s parameters due to undefined components and external disturbances such as eddy current losses in the actuator, external disturbance, variant parameters of the model while operating. In order to tackle the problem, RACMAC, which has a cerebellar model to estimate nonlinear disturbances, is investigated to resolve this problem. Based on this estimation, a robust adaptive controller that approximates the ideal and compensation controllers is calculated. The online parameters of the neural network are adjusted using Lyapunov\u27s stability theory to ensure the stability of system. Simulation results are presented to demonstrate the effectiveness of the proposed controller.The simulation results indicate that the CMAC multiple nonlinear multiple estimators are close to the actual nonlinear disturbance value, and the effectiveness of the proposed RACMAC method compared with the FOPID and SMC controllers has been studied previously

    A Novel Self-organizing Fuzzy Cerebellar Model Articulation Controller Based Overlapping Gaussian Membership Function for Controlling Robotic System

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    This paper introduces an effective intelligent controller for robotic systems with uncertainties. The proposed method is a novel self-organizing fuzzy cerebellar model articulation controller (NSOFC) which is a combination of a cerebellar model articulation controller (CMAC) and sliding mode control (SMC). We also present a new Gaussian membership function (GMF) that is designed by the combination of the prior and current GMF for each layer of CMAC. In addition, the relevant data of the prior GMF is used to check tracking errors more accurately. The inputs of the proposed controller can be mixed simultaneously between the prior and current states according to the corresponding errors. Moreover, the controller uses a self-organizing approach which can increase or decrease the number of layers, therefore the structures of NSOFC can be adjusted automatically. The proposed method consists of a NSOFC controller and a compensation controller. The NSOFC controller is used to estimate the ideal controller, and the compensation controller is used to eliminate the approximated error. The online parameters tuning law of NSOFC is designed based on Lyapunov’s theory to ensure stability of the system. Finally, the experimental results of a 2 DOF robot arm are used to demonstrate the efficiency of the proposed controller

    Northern Netherlands Innovation Monitor 2019:Time horizon of the Northern Netherlands SMEs

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    Dit deelrapport beschrijft of het Noord-Nederlandse mkb vooral gericht is op de korte termijn of juist veel aandacht besteedt aan de lange termijn. We gaan hierbij dieper in op de factoren die de tijdshorizon van bedrijven bepalen en kijken ook naar de gevolgen van een dergelijke korte- of langetermijnvisie
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