The relationship between information technology acceptance and organizational agility in Malaysia

Mezghiche, Mohamed; Rose, Raduan Che; Abdullah, Iskandar Hasan Tan; Masrom, Maslin

doi:10.1016/j.im.2004.09.001

Cited by 185 publications

(126 citation statements)

References 33 publications

(32 reference statements)

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“…All factor loadings exceeded the 0.5 threshold level with loadings ranging from 0.64 to 0.80. Additionally, Cronbach's alpha results ranged from 0.57-0.86 indicating that the scale used was reliable (Fang et al, 2004;Hatcher, 1994;Zain et al, 2005). The results underline that the transferor characteristics factor is the key enabler of the TT process explaining almost half (35%) of the total variance in the data set (77%).…”

Section: Exploratory Factor Analysismentioning

confidence: 90%

“…The measurement model for these six constructs (latent variables) had acceptable goodness-of-fit indices: RMSEA = 0.048, GFI = 0.90, CFI = 0.96, TLI = 0.95 (Ragu-Nathan et al, 2004;Zain et al, 2005).…”

Section: Measurement Modelmentioning

confidence: 97%

“…SEM is an effective technique for conceptualizing a theoretical model, confirming relationships between variables and gaining insight into the causal nature and strength of identified relationships (RaguNathan et al, 2004;Zain et al, 2005). However, SEM is a structural technique requiring large samples with a minimum sample size of fifteen (15) cases per measured variable.…”

Section: Structural Equation Modelingmentioning

confidence: 99%

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Modeling the international technology transfer process in construction projects: evidence from Thailand

Waroonkun

Stewart

2007

J Technol Transfer

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Many developing and newly industrialized countries lack the technical and management capabilities to undertake large and/or complex infrastructure projects. In an effort to more rapidly develop their infrastructure, economies and living standards, many have embarked on a series of international Technology Transfer (TT) initiatives within the construction and other industries. However, these initiatives have not immediately translated into enhanced capabilities and competitiveness within host country firms, resulting in a sustained reliance on foreign firms. In an attempt to improve rates of TT in developing countries, this article proposes a conceptual model for international TT that accommodates the numerous factors believed to impact on the processes effectiveness and derived outcomes. Utilizing the results from a questionnaire survey of 162 industry professionals from Thailand, an international TT model including the significant factors which impact on the TT process and the degree of value added from it, was formulated through exploratory and confirmatory factor analysis. Moreover, the significance of direct and indirect interrelationships between model factors was determined through structural equation modeling. This model included four process enablers, namely, government influence, transferee characteristics, transferor characteristics and relationship building, and one outcome factor named TT value added. Building relationships (i.e. trust, understanding and communication) between the transferor and transferee was determined to be the key predictor of TT-induced value creation for the host construction sector.

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Section: Exploratory Factor Analysismentioning

confidence: 90%

Section: Measurement Modelmentioning

confidence: 97%

Section: Structural Equation Modelingmentioning

confidence: 99%

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Modeling the international technology transfer process in construction projects: evidence from Thailand

Waroonkun

Stewart

2007

J Technol Transfer

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“…Since human mind capabilities are limited in terms of grasping important changes that take place in the environment surrounding it, so has the current business environment for any organization in the world become complicated and highly dynamic (Zain et al, 2005). Therefore, it has become necessary that organizations in dire need for light movement of human capital be characterized with sensing agility, decision-making, and agility in carrying out work properly.…”

Section: Introductionmentioning

confidence: 99%

Organizational Agility: The Key to Organizational Success

Wageeh¹

2016

IJBM

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Background: In the current turbulent and highly competitive environment of today, OA, that is the ability of organizations to quickly sense and respond to environmental changes, is an important determinant of organization success. Purpose:The purpose of this research is to identify the types of OA (sensing agility, decision-making agility and acting agility) and its role in promoting Organizational Success (OS) of the employees at Menoufia University Hospitals in Egypt.Research Design/Methodology: To assess positive OA, refer to (OA questionnaire, Jaworski & Kohli, 1993) and OS (OS questionnaire Simon et al., 2011). The data of the study was collected from the employees at Menoufia University Hospitals in Egypt. Out of the 338 questionnaires that were distributed to employees, 285 usable questionnaires were returned, a response rate of 84%. Multiple Regression Analysis (MRA) was used to confirm the research hypotheses. Findings:The researcher has found that the study subjects do agree that OA directly affects the dimensions of OS of the employees at Menoufia University Hospitals in Egypt. Practical implications:This research helps to stimulate scientific research, particularly in terms of testing the model content, as well as studying the study variables and the factors affecting them. In addition, this research pointed to the need for organizations to practice OA in order to be able to meet contemporary intense competition, as this trend is to play an important role in enhancing OS. Originality/value:This research dealt with OA in terms of its concept and dimensions, in addition to dealing with the role of OA in promoting OS at Menoufia University Hospitals in Egypt.

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“…This model has been used in many researches in different countries and its applicability has been investigated. This model has been introduced by [5] in the doctoral dissertation. As can be seen, the basis of this model is two factors: "perception of usefulness" and "perception of ease of use".…”

Section: Introductionmentioning

confidence: 99%

Investigating the impact of it adoption on innovative performance in small and medium software manufacturing

Falih¹,

Fejer²

2018

IJET

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The purpose of this study was to investigate the effect of IT adoption on the innovative performance in small and medium software manufacturing companies. This research is an applied and correlational study. The statistical population in this study was 920 employees of small and medium software manufacturing companies and sampling method was simple random sampling method that the sample size for this study was 270 people using Morgan table. In this research, two researcher-made questionnaires were used to collect information. To measure reliability, the Cronbach Alpha Measurement Instrument has been used. About the information technology questionnaire is equal to 0.78 and for the innovative performance questionnaire is equal to 0.78 and since these values are larger than 0.7 which demonstrates the high reliability of the questionnaires. The validity of the questionnaires was verified by the professors. Statistical research methods include structural equations using AMOS software and the results of the research showed that adoption of IT technology has an impact on the innovative performance in small and medium software manufacturing companies in.

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The relationship between information technology acceptance and organizational agility in Malaysia

Cited by 185 publications

References 33 publications

Modeling the international technology transfer process in construction projects: evidence from Thailand

Modeling the international technology transfer process in construction projects: evidence from Thailand

Organizational Agility: The Key to Organizational Success

Investigating the impact of it adoption on innovative performance in small and medium software manufacturing

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