Organizational Context, User Involvement, and the Usefulness of Information Systems*

Franz, Charles R.; Robey, Daniel

doi:10.1111/j.1540-5915.1986.tb00230.x

Cited by 328 publications

(144 citation statements)

References 32 publications

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“…This result is in line with other authors as Franz and Robey (1986), Sorensen and Stuart (2000), Burke et al (2002), Whesthead et al (2005 and Papastathopoulos and Beneki (2010). These works demonstrate how firms with more experience tend to implement more efficient ICT strategies than younger, as does the education level and previous knowledge of those technologies (Bekman et al 1998;Acemoglu 2002;Burke et al 2002).…”

Section: Resultssupporting

confidence: 83%

“…In line with this idea, some research have studied certain relationships between the age of the owner (Shih-Yung and Pearson 2011) and the age of the company (Goode and Stevens 2000;Sorensen and Stuart 2000;Chatterjee et al 2002, Balasubramanian andLee 2008) and the use of ICT. From these studies a negative relationship between the age of the entrepreneur is found (Aubert et al 2006;Shih-Yung and Pearson 2011) and the use of ICT and, conversely, a positive relationship between their experience in the market and its use (Franz and Robey 1986;Sorensen and Stuart 2000;Burke et al 2002;Westhead et al 2005;Papastathopoulos and Beneki 2010). Finally, another factor influencing positively the use of ICT is, as noted above, training (Fulantelli and Allegra 2003;Admiraal and Lockhorst 2009;Lee Sang et al 2010).…”

Section: Model and Hypothesesmentioning

confidence: 99%

“…In this sense other studies have analyzed the number of years the company has been in the industry, as a motivating factor in the use of ICT. There are several studies suggesting that firms with more experience in the market are able to adapt, implement and carry out strategic actions relating to the use and management of ICT more efficiently than other companies with little experience (Franz and Robey 1986;Sorensen and Stuart 2000). Younger firms are disadvantaged in the process of adaptation and application of new ICTs (Sorensen and Stuart 2000).…”

Section: The Age Of the Entrepreneur And The Use Of Ictmentioning

confidence: 99%

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The moderator effect of training in the adoption of ICT in microenterprises

2017

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This research aims to study two determinant factors of the ICT adoption and use in the Spanish micro-enterprise’s framework. Furthermore, this article analyses the combined influence of the age and the training experience of the entrepreneur according to the use of ICT in the company. Previous research has considered that the age of the entrepreneur has a negative effect while the level of education of the entrepreneur always have a positive effect in the use of ICT. However, any previous research has found the analysis of the combined effects of both variables together: the age and training, since the combined effects may be different from the effects of each variable separately. On this basis it has analysed a sample of 148 Spanish firms with fewer than 10 employees. The survey results seem to conclude that the specific training of entrepreneurs on issues related to ICT, (rather than the overall level of their training), moderates the negative effect caused by the increasing age the employer in the use of ICT.

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Section: Resultssupporting

confidence: 83%

Section: Model and Hypothesesmentioning

confidence: 99%

Section: The Age Of the Entrepreneur And The Use Of Ictmentioning

confidence: 99%

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The moderator effect of training in the adoption of ICT in microenterprises

2017

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“…Some have also argued that user participation is a right for those whose work lives are affected by a new information system (Hirschheim and Newman, 1991). Yet, the link between participation and system outcomes is unclear (Howcroft and Wilson, 2003) despite significant research attention (c.f., Allingham andO'Connor, 1992, Barki andHuff, 1990;Choe, 1998;Franz and Robey, 1986;Hartwick and Barki, 1994;He and King, 2008). Markus and Mao (2004) conclude that, while participation is neither a necessary nor sufficient condition for system development success, it supports positive development and implementation outcomes.…”

Section: Introductionmentioning

confidence: 99%

Representation in Systems Development and Implementation: A Healthcare Enterprise System Implementation

Ross¹,

Marcolin²,

Chiasson³

2012

THCI

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Netta Iivari was the accepting Senior Editor. This article was submitted on 11/15/2010 and accepted on 2/10/2012. It was with the author 208 days for 3 revisions. Today's information systems are often large and complex, affecting many people within and beyond the organization. Participation in this context is increasingly challenging because of the complexity of involving all who might be affected by a new information system. As a result, systems of representation, in which individuals are chosen to represent others, are often put in place to manage the participation process.Research has considered particular challenges of "representative participation" (Mumford, 1983); however, there is little empirical research comprehensively examining these systems of representation. Who participates in these systems, how are they structured and how is this representative work undertaken? Most importantly, what are the impacts of these decisions on the representation systems that are built and on the participation that flows from them?The purpose of our research is to explore the structuring of systems of representation in IS development and implementation. Building on the work of Land and Hirschheim (1983) and Mumford (1983), and drawing on Habermas' deliberative democracy (1998), this research explores the system of representation employed in a large Electronic Health Record implementation as empirical evidence. Healthcare is a critical context for studying information systems implementation because of its uniqueness and complexity (Chiasson and Davidson, 2004;LeRouge et al., 2007), and therefore serves as an important environment for this research.Our contributions, drawn from this Electronic Health Record project, include an understanding of three fundamental tasks for developing systems of representation: defining the constituency, selecting representatives, and determining how the representation relationship will be carried out. We demonstrate that systems of representation can be classified by different meanings of "represent." These types -"represent as spokesperson," "represent as example" and "represent as symbol" -differ in the purpose of representation, in who is involved and in how representation is undertaken. Most importantly, these types of systems differ in their participatory potential. The findings highlight the opportunities and challenges inherent in the construction and implementation of systems of representation.The paper concludes by exploring the implications of these findings for practitioners and researchers, suggesting that representation should be more than simply appointing representatives, and offering mechanisms for participation and influence. We call on researchers to view these systems of representation in more fine-grained ways to better understand what their complexities mean for contemporary system development and implementation.

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“…Examples for specific subjects include computer science (Adams et al 1992); acceptance of a website (Kamis et al 2008, Yahya et al 2012; Executive Information Systems (Averweg 2008); Enterprise Resource Planning systems (Amoako-Gyampah 2007); 3G mobile services (Suki & Suki 2011); landscape and river basin management (Volk et al 2010); agriculture and farming systems research (Newman et al 2000); river rehabilitation (Hostmann 2005); and information systems and managers' performance (Franz & Robey 1986). The case of forestry has been considered when assessing forest farmers' intention of engaging in online trading (Li et al 2012), forest education tools (Li et al 2011) and DSSs for forest management (Garg et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Usefulness and perceived usefulness of Decision Support Systems (DSSs) in participatory forest planning: the final users’ point of view

Pastorella¹,

Borges²,

Meo³

2016

iForest

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, Isabella De Meo (3)In recent decades, the focus of forestry Decision Support Systems (DSSs) has expanded to consider the social dimension of forestry and to support participatory decision-making. A large number of models and tools have become available to solve forest management planning problems. The Usefulness of a DSS depends on the range of tools that it incorporates, and many researches have been developed to evaluate DSSs using Usefulness as parameter. The assessment of Usefulness concerns the effectiveness of a DSS. Furthermore, most assessments take into account the degree of Perceived Usefulness, which is considered an indicator of the impact a system has on job performance. The present study focuses on the analysis of final users' point of view on the Usefulness and Perceived Usefulness of DSSs in participatory forest planning. The research investigates how forest users' characteristics and context influence their views on the potentialities of DSSs to enhance both the various phases of the participatory planning process (Usefulness) and job performance (Perceived Usefulness). The study is based on quantitative data collected through two questionnaires e-mailed to a sample of 150 DSSs end users. The questionnaires focused on Usefulness and on Perceived Usefulness topics, respectively. Results indicate that special attention must be given to motivating respondents with a clear explanation of the survey objectives when e-mailing questionnaires. Moreover, results show that, in general, respondents consider DSSs useful at each step of the participatory process, despite differences emerge among steps. The research also shows that respondents' Perceived Usefulness of DSSs was higher before actually engaging with DSSs. Furthermore, the results highlight differences in Perceived Usefulness to improve job performance, suggesting that the use of DSSs may actually improve job performance more than expected. Specifically, results indicate that improving the technical descriptions of methodologies incorporated in a DSS may contribute to increasing the Perceived Usefulness. The information provided within this research contributes to the advancement of knowledge regarding the Usefulness of DSSs as perceived by forest stakeholders, which in turn supports the improvement of DSS architectures and the development of participatory processes in forest management planning.

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Organizational Context, User Involvement, and the Usefulness of Information Systems*

Cited by 328 publications

References 32 publications

The moderator effect of training in the adoption of ICT in microenterprises

The moderator effect of training in the adoption of ICT in microenterprises

Representation in Systems Development and Implementation: A Healthcare Enterprise System Implementation

Usefulness and perceived usefulness of Decision Support Systems (DSSs) in participatory forest planning: the final users’ point of view

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