Acceptance of Professional Web 2.0 Platforms in Regional SME Networks: An Evaluation Based on the Unified Theory of Acceptance and Use of Technology

Peris, Martina; Blinn, Nadine; Nüttgens, Markus; Lindermann, Nadine; Kortzfleisch, Harald F. O. von

doi:10.1109/hicss.2013.70

Cited by 14 publications

(12 citation statements)

References 24 publications

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“…workgroups at universities) the acceptance of IOL platforms is strongly driven by the effort and performance expectancies (Table 2) (March, 1991;Hughes et al, 2007;Lackey, 2018). These findings are in line with Peris et al (2013) and can be explained by the fact that the organizations and their members assume to use the IOL platform frequently and intensively for integrative and interactive IOL (Jansen et al, 2006;Chang, 2014;Brix, 2019a). More precisely, scientists from universities need the platform to collaborate with engineers from RTD performers particularly (Powell et al, 2005).…”

Section: Explorative Organizationssupporting

confidence: 77%

“…For example, Silic and Back (2013) confirmed the relevance of performance expectancy, while authors such as Maican et al (2019) supported the effect of effort expectancy and social influence. Peris et al (2013) analyzed the acceptance of a collaboration software in small-and medium-sized enterprises. The authors' results indicate that perceptions of the technology (i.e.…”

Section: Unified Theory Of Acceptance and Use Of Technologymentioning

confidence: 99%

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Come on, network! Empowering employees to use Web-based interorganizational learning platforms in research and development

Reichenbach

Eberl

Lindenmeier

2020

TLO

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Purpose An interorganizational learning (IOL) Web-based platform provides an ambidextrous working area, where employees can switch between exploration and exploitation-related activities. This study aims to present new indications on how to increase the acceptance and use of Web-based platforms for IOL. Specifically, it proposes how acceptance rates can be increased by focusing on the key mechanisms in Web-based platforms that are important from the users’ perspective. Design/methodology/approach Survey data were collected from employees in universities, companies, government agencies and research and technological development performers. Data analysis applies a multi-group analysis (MGA) based on the partial least squares structural equation modeling. Findings Performance expectancy is important in explorative, exploitative and ambidextrous organizations. Moreover, effort expectancy is an important driver of platform acceptance in explorative organizations, facilitating conditions in exploitative organizations and hedonic motivation in ambidextrous organizations. Originality/value This study contributes to the IOL literature by analyzing specific acceptance characteristics of potential users of a Web-based IOL platform for research and development. As the first paper published in this research context, it explicitly considers explorative, exploitative and ambidextrous organizations based on interactive and integrative interorganizational ambidexterity.

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Section: Explorative Organizationssupporting

confidence: 77%

Section: Unified Theory Of Acceptance and Use Of Technologymentioning

confidence: 99%

Come on, network! Empowering employees to use Web-based interorganizational learning platforms in research and development

Reichenbach

Eberl

Lindenmeier

2020

TLO

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“…The concept of UTAUT has been proven to successfully reveal and explain up to 70% of variables that affect intentions that lead a person on behaving towards the rejection or acceptance of the use of information technology [24]. The UTAUT can be relied upon in explaining variables and factors in different places in different languages, cultures and developing countries [25]. Some research related UTAUT models that have been used and done in various countries [26][27][28][29][30][31][32][33][34][35][36][37][38][39].…”

Section: Figure 1 Study Modelmentioning

confidence: 99%

Understanding Behavioral Intention in Implementation of the ICTs Based on UTAUT Model

Krismadinata

Jalinus

Rosmena³

et al. 2019

LKJITI

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Innovation on Information Communication and Technology (ICT) are not suddenly accepted and directly used by individuals in work and workplace, even some individuals refuse to work using adoption ICTs. Therefore this research needs to be done to reveal what factors influence this attitude. This article aims to analysis variables or factors such as performance expectancy (PE) as X1, effort expectancy (EE) as X2, social influence (SI) as X3 and facilitating condition (FC) as X4 that contribute to the behavioral intention (BI) as Y of individual in accepted or rejected innovation based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model perspective. The method was applied factor analysis. A technique of collecting data using the checklist of questionnaire instrument, with total the population of 85 people, then according to tables of Isaac and Michael obtained the sample of 68 respondents who came from the Government Employees in the Disdikpora Dharmasraya Regency. The data were analyzed with the software tools of the Statistical Package for the Social Sciences (SPSS) version 22. The data collection time starts from November to December 2018. We found that X1, X2, X3, and X4 have significant effects on user acceptation based on UTAUT model.

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“…In fact, this solution has been supported within a collaborative planning approach that considers a collaborative web-based tool (OpenBook , 2014) that is provided by the DNA Agile Group. More solutions to be considered in further improvements can be obtained, for instance, from Kim et al (2013), OpenBook 2014, Peris et al (2013) and Precision Engineering Sector Report (2012). Therefore, three main aspects were considered in order to evaluate the relevance of considering a collaborative approach.…”

Section: The Web-based Implementation In a Uk Precision Engineering Smementioning

confidence: 99%

A DSS-Based Framework for Enhancing Collaborative Web-Based Operations Management in Manufacturing SME Supply Chains

2016

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The precision engineering sector lies at the heart of the UK's manufacturing capability. Companies that operate in this sector support major economy-driving industries such as aerospace, defence, motorsport, nuclear, off-highway equipment, oil and gas, and renewable energy. The main companies that constitute this sector are small and medium-sized enterprises (SMEs). Successful precision engineering businesses are required to master process innovation and supply chain solutions, and in these types of business, the implementation of innovative, collaborative solutions has become a necessary strategy for enhancing SME decision-making capability as well as for improving overall business competitiveness. The aim of the research described in this paper is to present how, by mentoring and supporting SME organisations through on-line based collaboration, it is possible to engage in improved collaborative alliances and how precision-engineering SMEs can benefit and are able to enhance their performance. The research is supported by a description of a case study undertaken in a precision engineering SME, from the UK northwest region, in order to demonstrate the application of the collaborative decision support systems approach. Keywords Collaborative operations management • Supply chain integration • Web-based decision support system This work has been supported by the C2I ERDF funded project in UK.

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Acceptance of Professional Web 2.0 Platforms in Regional SME Networks: An Evaluation Based on the Unified Theory of Acceptance and Use of Technology

Cited by 14 publications

References 24 publications

Come on, network! Empowering employees to use Web-based interorganizational learning platforms in research and development

Come on, network! Empowering employees to use Web-based interorganizational learning platforms in research and development

Understanding Behavioral Intention in Implementation of the ICTs Based on UTAUT Model

A DSS-Based Framework for Enhancing Collaborative Web-Based Operations Management in Manufacturing SME Supply Chains

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