Developing A Mobile Web for Innovative University Assessment System: Thailand Talent Mobility Programme

Kongsoontornkijkul, Kritika; Pichyangkura, Rath; Vadhanasindhu, Pakpachong; Vanichbuncha, Kanlaya

doi:10.3991/ijim.v13i11.10924

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Castillo et al (2014) found that the FONTAR program stimulated innovation spillovers through talent mobility. Kongsoontornkijkul et al (2019) mentioned that technological talent brought new innovative thinking and opened up new innovation paths. Moodley (2021) found that knowledge management tools can stimulate innovation through knowledge sharing.…”

Section: The Theoretical Analyses and Hypothesesmentioning

confidence: 99%

The relationship between industrial policy and exploratory innovation – evidence from high-tech enterprise identification policy in China

Chen

Kim²

2023

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PurposeThe relationship between industrial policy and exploratory innovation is imperfect.Design/methodology/approachThe authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action.FindingsFirst, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms’ innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms’ innovation.Originality/valueThis paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms.

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Section: The Theoretical Analyses and Hypothesesmentioning

confidence: 99%

The relationship between industrial policy and exploratory innovation – evidence from high-tech enterprise identification policy in China

Chen

Kim²

2023

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“…We conducted a cluster analysis for building the BDMM through LCA by using the Proc LCA software [49] and R package v.1.4.1 [50]. The number of groups that were tested ranged from three to six, as BDMMs, in general, comprise four-six groups [34].…”

Section: Questionnaire and Validationmentioning

confidence: 99%

“…Many studies investigated users attitude on mobile technology through adoption of tools or consumer application such as mobile banking [44], google translation [45], e-learning in university system [46,47] and mobile commerce adoption via mobile applications [48]. TAM model also used for organization assessment for the evaluate e-commerce assessment for SMEs [49] and university assessment [50] in Thailand. In summary, TAM is the most effective model and can be used as a tool to collect user's comments for improving the system.…”

Section: Tammentioning

confidence: 99%

Innovative Mobile Application for Measuring Big Data Maturity: Case of SMEs in Thailand

Limpeeticharoenchot

Cooharojananone

Chanvanakul

et al. 2020

Int. J. Interact. Mob. Technol.

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A Big Data maturity model (BDMM) is one of the key tools for Big Data assessment and monitoring, and a guideline for maximizing the usage and opportunity of Big Data in organizations. The development of a BDMM for SMEs is a new concept and is challenging in terms of development, application, and adoption. This article aims to create the novel online adaptive BDMM via responsive web application for SMEs. We develop the BDMM API and a responsive web application for easy access via mobile phone. We developed a model by analyzing the factors impacting the success of implementing Big Data Analytics (BDA) in SMEs based on literature reviews. The model was verified by conducting a survey of 180 SMEs in Thailand, interviewed against four extracted domains. Then, the scoring and classified levels for the model was developed through Latent Class Analysis (LCA) to depict four levels of each domain and four final maturity levels to create an adaptive model. As the experimental results with 33 users including executive officers, managers, IT and data analytic officers .The user acceptance for our mobile application using TAM indicates that executive officers group and non-executive group satisfied perceived usefulness, perceived ease of use, and intention to use factor. Use cases of the application include SMEs monitoring for their Big Data Analytics capability for improvement, and the Government Agency providing proper support on SMEs’ level of competency.

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“…It will start with Matlab Toolbox for IoT applications for event simulation. The reader may also refer to researches like in [12][13][14][15] to engage with mobile services understanding.…”

Section: Fig 2 Systems Frameworkmentioning

confidence: 99%

Design of Mobile Communication System for Emergency Services

Hazim

Al-Behadili²,

Kareem³

et al. 2020

Int. J. Interact. Mob. Technol.

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<span>Telecommunication technology serves several fields in the world. One of the most significant fields is the emergency services to provide a fast connection between the case, the vehicle and emergency treatment office. This paper is a part of a long-term project to design a reliable communication system service to be used for emergency services of a specific city. The hardware devices of this system are intended to work within an mm waves frequencies. In the current research, as a starting point, an exhaustive study accomplished to pave the way to the main goal of the project. The system uses OFDM technology to improve the performance of the system. Other requirements for error correction are also included in the model such as convolutional, hamming coding and interleaving. The system development is supported by a Matlab interface software to simulate the job of an IoT real-time network covering both vehicles and the control centres.</span>

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Developing A Mobile Web for Innovative University Assessment System: Thailand Talent Mobility Programme

Cited by 7 publications

References 14 publications

The relationship between industrial policy and exploratory innovation – evidence from high-tech enterprise identification policy in China

The relationship between industrial policy and exploratory innovation – evidence from high-tech enterprise identification policy in China

Innovative Mobile Application for Measuring Big Data Maturity: Case of SMEs in Thailand

Design of Mobile Communication System for Emergency Services

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