scholarly journals Exploring Diffusion Characteristics that Influence Serious Games Adoption Decisions

2021 ◽  
Author(s):  
Katerina Antonopoulou ◽  
Nicholas Dacre

In this paper we discuss the diffusion of serious games and present reasons for why Rogers’ traditional approach is limited in this context. We present an alternative overview through the characteristics of relative advantage, compatibility, complexity, trialability, and observability, that reflect on the adoption decision and contributes on the commercialization of serious games.

2018 ◽  
Vol 29 (2) ◽  
pp. 42-61 ◽  
Author(s):  
Nan (Tina) Wang

Using information processing theory (IPT) as the theoretical lens and incorporating various literatures following the IPT lens (e.g., dual-threshold in signal detection), this article develops a two-process model of innovation adoption decision making, accounting for the possibility for potential adopters (at different levels) to make adoption decisions (adopt, do not adopt) with or without an intensive evaluation of the innovation. Specifically, this article proposes that there is an attention process prior to the extensively investigated intensive evaluation process; potential adopters may make adoption decisions (adopt, do not adopt) at the end of the attention process or defer making decisions until after an intensive evaluation is conducted. The impacts of innovation attributes on various influence targets (i.e., relative advantage belief strength, adoption threshold and rejection threshold) during the less examined attention process are also discussed. This article may contribute to the innovation adoption literature and provide practical implications for innovation proponents/detractors regarding how to craft sensegiving messages influencing potential adopters' decision making.


2016 ◽  
Vol 02 (03) ◽  
pp. 1650026 ◽  
Author(s):  
Jinxia Wang ◽  
Henning Bjornlund ◽  
K. K. Klein ◽  
Lijuan Zhang ◽  
Wencui Zhang

Despite the importance of adopting improved irrigation technologies to increase on-farm irrigation efficiency, our understanding of what determines farmers’ adoption decisions in southern Alberta remains relatively poor. The overall goals of this study are to examine the extent of adoption (proportion of all irrigators that have started the adoption process), how far along they are in the adoption process, and the intensity of adoption (percentage of irrigated land on which the technology is adopted) of improved irrigation technologies in southern Alberta, and to assess the major factors that influenced farmers’ adoption decisions. The data were collected in a farm-household survey conducted in the 12 largest irrigation districts (IDs) as well as among private irrigators in southern Alberta. Results show that adoption of improved irrigation technologies is widespread at various levels of intensity. By 2011, 81.3% of farmers had started the adoption process, are now using some kind of improved technology to apply water to their crops, and used it on 76.8% of all irrigated land. The most commonly used irrigation technology is a low pressure center pivot system. Receiving support services following the adoption decision played an important role in increasing the intensity of adoption. Obtaining information on irrigation technologies from individual farmers or farmers’ associations, and extension agencies significantly influenced farmers’ decisions to adopt. Farmers who increased their social capital through attending meetings related to agricultural production practices were more likely to adopt while farmers who participated in recreational or social organizations were less likely to adopt. Finally, the extent and intensity of adoption are higher for those with corporate farm structure, larger families, more generations of ownership and higher education.


2020 ◽  
Vol 8 (1) ◽  
pp. 91-102 ◽  
Author(s):  
Can Sayginer ◽  
Tuncay Ercan

Purpose of the study: This study aims to investigate the internal and external factors for CC adoption decisions of companies in Izmir, Turkey using a combination of DOI and TOE models. Methodology: This is a confirmatory survey of businesses, forming a questionnaire for 176 IT decision-makers of non-cloud or cloud user businesses in the city of Izmir in Turkey. SmartPLS 3.0 software is used to assess the determinants affecting cloud computing adoption. Main Findings: The study identified relative advantage, compatibility, complexity, and top management support, using security and privacy concerns and cost savings as mediating variables of relative advantage for CC adoption. The survey results indicated that complexity and top management supports are significantly important for efficient CC adoption. The model explained 41.2 percent of CC adoption. Applications of this study: The study is believed to be useful in fields including business development for most sectors, computing, cloud providers as well as researchers on business administration, sales, marketing, and IT infrastructure. Particularly this study and the suggested framework will help companies and businesses adopt CC appropriately. Moreover, as suggested in the study, governments can use such frameworks when encouraging cloud providers to support companies in their decision making and transition periods for CC adoption. Novelty/Originality of this study: This study will undoubtedly contribute to the decision making processes of the companies for CC adoption. Through the integrated in-depth analysis of the factors that affect the adoption decisions in an industrial region of Turkey, the study will also provide valuable data for the researchers and businesses within similar company personas.


2021 ◽  
Author(s):  
◽  
Jasmine David

<p>Technology adoption plays a significant role in changing the way business communicates its financial information. One recently developed, technology-based language that can be used for financial reporting is eXtensible Business Reporting Language (XBRL). Fisher (2008) believes that XBRL is the future of business reporting and various XBRL stakeholders internationally have been promoting the use of XBRL for almost two decades. However, the widespread adoption of XBRL for business reporting has not happened in New Zealand.  Thus, the aim of this thesis is to investigate why business and professional organisations and the New Zealand Government have decided not to adopt XBRL for use in business reporting and the implications of that decision for XBRL stakeholders. The following research questions are addressed:  a) What factors influenced the organisations’ decisions not to adopt XBRL for use in business reporting? b) What are the implications of the government decision regarding XBRL use in business reporting for XBRL stakeholders?  To achieve the research aim and answer the research questions, this study developed a research framework that utilizes the Technological, Organisational, and Environmental (TOE) model of technology adoption developed by DePietro, Wiarda, and Fleischer (1990). A longitudinal multiple-case study approach that analyses interview and documentary data related to four key XBRL projects: LEAP+, Project First Step, e-GIF, and SBR, was employed.  The results suggest the non-adoption decision by New Zealand’s private and public sector organisations was influenced by a combination of factors from the technological, organisational, and environmental contexts. Twelve predicted and fourteen unpredicted factors have a different degree of influence on the non-adoption decision. The factors of no relative advantage, not being perceived as a problem solver, a lack of human capability, no real championship, ineffective promotion, and communication, over-enthusiasm among experts, a lack of stakeholder involvement and a knowledge gap are the critical influencing factors and are common to all four XBRL projects. One-off factors in particular projects also had a significant influence. These were the copyright issue in the LEAP+ project; a change of laws, rules and regulations in Project First Step; a change of programme sponsor in the e-GIF project; and a change of government and the global financial crisis in the SBR programme. For the earlier projects, under the auspices of professional organisations, the technological and organisational contexts were the most important. However, the organisational and environmental contexts were most significant during projects under the auspices of government organisations.  The non-adoption of XBRL had different short-term and long-term implications for the XBRL stakeholders. In the short-term, the government agencies are potentially unable to perform specific reporting-related data analysis and have limited their ability to share data and improve the efficiency of their processes. In long-term the government agencies have lost an opportunity to detect more errors in financial statements, to get data and information for policy-making purposes and to work in a connected manner. Accounting firms face a lack of XBRL skill development in the short and long-term and have missed the opportunity to free-up time for other purposes. Business organisations have lost the opportunity to improve access and connections with government agencies or other businesses, to reduce their compliance costs and potentially increase their long-term effectiveness.</p>


2020 ◽  
Vol 10 (23) ◽  
pp. 8723
Author(s):  
Richard R. Hark ◽  
Chandra S. Throckmorton ◽  
Russell S. Harmon ◽  
John R. Plumer ◽  
Karen A. Harmon ◽  
...  

The ability to rapidly conduct in-situ chemical analysis of multiple samples of soil and other geological materials in the field offers many advantages over a traditional approach that involves collecting samples for subsequent examination in the laboratory. This study explores the application of complementary spectroscopic analyzers and a data fusion methodology for the classification/discrimination of >100 soil samples from sites across the United States. Commercially available, handheld analyzers for X-ray fluorescence spectroscopy (XRFS), Raman spectroscopy (RS), and laser-induced breakdown spectroscopy (LIBS) were used to collect data both in the laboratory and in the field. Following a common data pre-processing protocol, principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA) were used to build classification models. The features generated by PLSDA were then used in a hierarchical classification approach to assess the relative advantage of information fusion, which increased classification accuracy over any of the individual sensors from 80-91% to 94% and 64-93% to 98% for the two largest sample suites. The results show that additional testing with data sets for which classification with individual analyzers is modest might provide greater insight into the limits of data fusion for improving classification accuracy.


Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2470
Author(s):  
Alexa Lamm ◽  
Laura Warner ◽  
Abraham Tidwell ◽  
Kevan Lamm ◽  
Paul Fisher ◽  
...  

There is an increasing necessity to implement water treatment technologies in order to optimize the use of freshwater resources as the global nursery and greenhouse industry grows. Unfortunately, their adoption has been limited. This study tested a conceptual model for technology adoption based on the Theory of Diffusion of Innovations in tandem with Adaption-Innovation Theory and Critical Thinking Style literature. Using a series of linear and logistic regressions, three characteristics of an innovation—relative advantage, complexity, and trialability—were identified as significant drivers of growers’ decisions to implement water treatment technologies. Growers who seek information when thinking critically and are more innovative when solving problems did not perceive new technologies to be compatible or to possess a relative advantage over their current systems. The results suggested most growers are unsure of how new technologies fit into their existing operations. Creating opportunities for growers to get hands on experience with new technologies, such as a field day, could assist in increasing growers’ implementation. In addition, developing a series of online videos highlighting how to use, adapt and troubleshoot the equipment would greatly enhance chances of long-term adoption.


2011 ◽  
pp. 1491-1516
Author(s):  
Nabeel Al-Qirim

Focus group methodology is introduced in this article as one appropriate methodology to study the impact of technological innovation factors on e-commerce (EC) adoption in small businesses (SMEs) in New Zealand. The research results suggested two emerging issues pertaining to EC adoption in SMEs in this research. First, SMEs would not invest their scant resources on perceived risky advanced EC initiatives. In adopting simple EC technologies such as Web pages and e-mail, factors like cost and compatibility were found not hindering the adoption decision. On the other hand, the proposed drivers to adopt these simple technologies were not highly significant as such. Second, the SMEs retained a particular view about advancing their simple EC initiatives. They envisaged that advancing their EC initiatives, such as adopting full-blown and interactive Web sites, will give more weight to the impact of the different factors in this research on their adoption decisions of EC. The gulf between the current adoption and usage levels and the envisaged advanced EC initiatives seemed to be increasing further, suggesting the weakness of the EC phenomenon in SMEs in this research. The research portrays a path where such gaps could be addressed, and hence, this path should guide the SMEs in advancing their EC initiatives. Implications arising from this research with respect to theory and to practice are discussed in this research.


2016 ◽  
Vol 9 (10) ◽  
pp. 46 ◽  
Author(s):  
Ahamed Al-dmour ◽  
Rand Al-dmour ◽  
Ra'ed Masa'deh

<p>This study aims to identify the main factors that either facilitating (motivating) or inhabiting the adoption decision of AIS by small –medium sized companies in Jordan. In order to accomplish the research objectives, a conceptual framework was designed. The conceptual framework includes three major interrelated factors: organizational, technological and environmental factors. The data for this research were collected through email survey with 101 respondents. The target respondents were the small-medium sized companies in Jordan and the key respondent approach was used. A group of twenty factors, employed as variables from the previous studies and models of adoption were listed and examined in a neutral manner, without pre-classifying them as barriers or incentives, through email surveys sent to key respondent in the SMEs. Respondents were asked to indicate how these factors influence their AIS adoption decisions. Furthermore, a comparison analysis has conducted to show how these factors are perceived differently among those who have adopted as AIS, those that will not adopt it all and those that might adopt it in the near future. The finding showed that only twelve of these factors were found significant, eight labeled as incentives and four labeled as barriers. However, the set cost factor was the only shared one perceived as a barrier among all groups. The results showed the three groups adopt perceive factors differently. The research has finalized with some theoretical and practical implications and recommendations.</p>


2016 ◽  
Vol 29 (4) ◽  
pp. 566-588 ◽  
Author(s):  
Prerna Lal ◽  
Sangeeta Shah Bharadwaj

Purpose – The purpose of this paper is to explore the factors that drive the adoption of cloud-based services and further understand the impact of this adoption on the organizational flexibility. This study presents information technology executive’s perspective and discovers new constructs of organizational flexibility that can be achieved due to the adoption of cloud-based services, which is the main contribution of this paper. Design/methodology/approach – This study uses in-depth interview approach. Total 21 Indian cases were studied by interacting with respondents having similar profiles (i.e. CIOs, CTOs, technology heads, and systems managers). Based on the literature review a semi-structured questionnaire was prepared and administered through in-depth interviews. Findings – Analysis of data reveals that cloud-based services provide relative advantage in terms of scalability, accessibility, and on-demand deployment of services within no time. Easy to use interface, experience, and expertise of the cloud service provider as well as support from top management plays important role in the cloud adoption decision. Further the study also identifies that no matter which model of cloud-based services (software-as-a-service (SaaS), platform-as-a-service (PaaS), or infrastructure-as-a-service (IaaS)) is used; cloud-based services’ adoption impacts organizational flexibility, which can be divided into four categories, namely, economic flexibility, process flexibility, performance flexibility, and market flexibility. Research limitations/implications – This is an exploratory study conducted through in-depth interviews hence the results can further be verified through a quantitative research. The study does not explore negative factors that may discourage adoption of cloud-based services. Though two factors vendor lock-in and security emerged as a concern very prominently in the in-depth interviews but this issue can further be explored in detail. Originality/value – This study bridge the gap in the research by identifying the factors that drive the adoption of cloud-based services in different forms (SaaS, PaaS, and IaaS) as well exploring the impact of cloud adoption on the organizational flexibility in case of Indian organizations.


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