Demystifying Technology Adoption through Implementation of a Multilevel Technology Acceptance Management Model

<!DOCTYPE html> <html> <head>  <link href="https://fonts.googleapis.com/icon?family=Material+Icons" rel="stylesheet"> <link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.0.13/css/all.css" integrity="sha384-DNOHZ68U8hZfKXOrtjWvjxusGo9WQnrNx2sqG0tfsghAvtVlRW3tvkXWZh58N9jp" crossorigin="anonymous"> <link href="https://fonts.googleapis.com/css?family=Roboto" rel="stylesheet">  <link type="text/css" rel="stylesheet" href="css/materialize.min.css" media="screen,projection" /> <link type="text/css" rel="stylesheet" href="css/main.css" />  <title>Demystifying Technology Adoption through Implementation of a Multilevel Technology Acceptance Management Model</title>  <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <meta name="title" content="Demystifying Technology Adoption through Implementation of a Multilevel Technology Acceptance Management Model"> <meta name="description" content="Successful data driven decision making in any organization is anchored on the tenets of knowledge as a strategic resource. Successful adoption of a technological intervention to harness this pivotal resource is key. Institutions leverage on technology for prudent data management to drive knowledge management (KM) initiatives towards quality service delivery. These initiatives provide the overall strategy for managing data resources through making available knowledge organization tools and techniques while enabling regular updates. Some of the benefits derived from positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of an e-commerce operating environment. Timely, focused and successful adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes a multilevel technology acceptance management model. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. To validate the model, a descriptive survey was conducted sampling ICT personnel in the Kenyan Public Sector. A regression analysis framework was adopted to determine the statistical relationship between the dependent (technology acceptance) and independent (human, technological and environmental) variables. Results indicate that technology acceptance in the Kenyan public sector is significantly predicted by human variables (p=.00<.05; LL=0.325; UL=0.416); technological variables (p=.00<.05; LL=0.259; UL=0.362) and environmental variables (p=.00<.05; LL=0.282; UL=0.402). Based on the findings, it is deduced that the proposed multilevel technology acceptance model is validated. The findings also provide sufficient evidence to reject the null hypothesis that the multilevel knowledge management acceptance model is insignificant to successful technological intervention implemen "> <meta name="keywords" content="Technology Acceptance, Technology Adoption, Knowledge, Management Model, Multilevel, Technology Model"/>   <meta name="dc.title" content="DEMYSTIFYING TECHNOLOGY ADOPTION HROUGH IMPLEMENTATION OF A ULTILEVEL TECHNOLOGY ACCEPTANCE ANAGEMENT MODEL "> <meta name="citation_authors" content="Manfred Sneps-Sneppe, Dace Pjanova, Maksims Marinak "> <meta name="dc.type" content="Article"> <meta name="dc.source" content="ComputerScience&InformationTechnology (CS&IT) Vol.14, No.14"> <meta name="dc.date" content="2024/07/31"> <meta name="dc.identifier" content="10.5121/csit.2024.141405"> <meta name="dc.publisher" content="AIRCC Publishing Corporation"> <meta name="dc.rights" content="http://creativecommons.org/licenses/by/3.0/"> <meta name="dc.format" content="application/pdf"> <meta name="dc.language" content="en"> <meta name="dc.description" content=" Successful data driven decision making in any organization is anchored on the tenets of knowledge as a strategic resource. Successful adoption of a technological intervention to harness this pivotal resource is key. Institutions leverage on technology for prudent data management to drive knowledge management (KM) initiatives towards quality service delivery. These initiatives provide the overall strategy for managing data resources through making available knowledge organization tools and techniques while enabling regular updates. Some of the benefits derived from positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of an e-commerce operating environment. Timely, focused and successful adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes a multilevel technology acceptance management model. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. To validate the model, a descriptive survey was conducted sampling ICT personnel in the Kenyan Public Sector. A regression analysis framework was adopted to determine the statistical relationship between the dependent (technology acceptance) and independent (human, technological and environmental) variables. Results indicate that technology acceptance in the Kenyan public sector is significantly predicted by human variables (p=.00<.05; LL=0.325; UL=0.416); technological variables (p=.00<.05; LL=0.259; UL=0.362) and environmental variables (p=.00<.05; LL=0.282; UL=0.402). Based on the findings, it is deduced that the proposed multilevel technology acceptance model is validated. The findings also provide sufficient evidence to reject the null hypothesis that the multilevel knowledge management acceptance model is insignificant to successful technological intervention implementation. The study therefore concludes that the multilevel knowledge management acceptance model is of crucial importance to successful technological intervention implementation. The study recommends a multilevel technology deployment process at 3 key levels. The first level ought to address any gaps in the identified human-related factors, while the second level in the deployment process involves providing an enabling environment for adoption of the intervention. The third level entails the actual deployment of the technological intervention with a focus on key features of the technologies involved. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully."/> <meta name="dc.subject" content=" Technology Acceptance"> <meta name="dc.subject" content=" Technology Adoption"> <meta name="dc.subject" content="Knowledge"> <meta name="dc.subject" content=" Management Model"> <meta name="dc.subject" content=" Multilevel"> <meta name="dc.subject" content=" Technology Model"> <meta name="dc.subject" content="Proceedings"> <meta name="dc.subject" content="Computer Science"> <meta name="dc.subject" content="Technology">   <meta name="prism.publicationName" content="ComputerScience&InformationTechnology (CS&IT) "> <meta name="prism.publicationDate" content="2024/07/31"> <meta name="prism.volume" content="14"> <meta name="prism.number" content="14"> <meta name="prism.section" content="Article"> <meta name="prism.startingPage" content="51">   <meta name="citation_journal_title" content="ComputerScience&InformationTechnology (CS&IT)"> <meta name="citation_publisher" content="AIRCC Publishing Corporation"> <meta name="citation_authors" content="Manfred Sneps-Sneppe, Dace Pjanova, Maksims Marinak"> <meta name="citation_title" content=" DEMYSTIFYING TECHNOLOGY ADOPTION HROUGH IMPLEMENTATION OF A ULTILEVEL TECHNOLOGY ACCEPTANCE ANAGEMENT MODEL"> <meta name="citation_online_date" content="2024/07/31"> <meta name="citation_issue" content="14"> <meta name="citation_firstpage" content="51"> <meta name="citation_authors" content="Gilbert Busolo "> <meta name="citation_authors" content="Lawrence Nderu "> <meta name="citation_authors" content="Kennedy Ogada "> <meta name="citation_doi" content="10.5121/csit.2024.141405"> <meta name="citation_abstract_html_url" content="https://aircconline.com/csit/abstract/v14n14/csit141405.html"> <meta name="citation_pdf_url" content="https://aircconline.com/csit/papers/vol14/csit141405.pdf">   <meta property="og:site_name" content="AIRCC" /> <meta property="og:type" content="article" /> <meta property="og:url" content="https://aircconline.com/csit/abstract/v14n14/csit141405.html"> <meta property="og:title" content="DEMYSTIFYING TECHNOLOGY ADOPTION HROUGH IMPLEMENTATION OF A ULTILEVEL TECHNOLOGY ACCEPTANCE ANAGEMENT MODEL"> <meta property="og:description" content="Successful data driven decision making in any organization is anchored on the tenets of knowledge as a strategic resource. Successful adoption of a technological intervention to harness this pivotal resource is key. Institutions leverage on technology for prudent data management to drive knowledge management (KM) initiatives towards quality service delivery. These initiatives provide the overall strategy for managing data resources through making available knowledge organization tools and techniques while enabling regular updates. Some of the benefits derived from positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of an e-commerce operating environment. Timely, focused and successful adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes a multilevel technology acceptance management model. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. To validate the model, a descriptive survey was conducted sampling ICT personnel in the Kenyan Public Sector. A regression analysis framework was adopted to determine the statistical relationship between the dependent (technology acceptance) and independent (human, technological and environmental) variables. Results indicate that technology acceptance in the Kenyan public sector is significantly predicted by human variables (p=.00<.05; LL=0.325; UL=0.416); technological variables (p=.00<.05; LL=0.259; UL=0.362) and environmental variables (p=.00<.05; LL=0.282; UL=0.402). Based on the findings, it is deduced that the proposed multilevel technology acceptance model is validated. The findings also provide sufficient evidence to reject the null hypothesis that the multilevel knowledge management acceptance model is insignificant to successful technological intervention implementation. The study therefore concludes that the multilevel knowledge management acceptance model is of crucial importance to successful technological intervention implementation. The study recommends a multilevel technology deployment process at 3 key levels. The first level ought to address any gaps in the identified human-related factors, while the second level in the deployment process involves providing an enabling environment for adoption of the intervention. The third level entails the actual deployment of the technological intervention with a focus on key features of the technologies involved. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully."/>   <meta name="twitter:card" content="Proceedings" /> <meta name="twitter:site" content="AIRCC" /> <meta name="twitter:title" content="DEMYSTIFYING TECHNOLOGY ADOPTION HROUGH IMPLEMENTATION OF A ULTILEVEL TECHNOLOGY ACCEPTANCE ANAGEMENT MODEL" /> <meta name="twitter:description" content=" Successful data driven decision making in any organization is anchored on the tenets of knowledge as a strategic resource. Successful adoption of a technological intervention to harness this pivotal resource is key. Institutions leverage on technology for prudent data management to drive knowledge management (KM) initiatives towards quality service delivery. These initiatives provide the overall strategy for managing data resources through making available knowledge organization tools and techniques while enabling regular updates. Some of the benefits derived from positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of an e-commerce operating environment. Timely, focused and successful adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes a multilevel technology acceptance management model. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. To validate the model, a descriptive survey was conducted sampling ICT personnel in the Kenyan Public Sector. A regression analysis framework was adopted to determine the statistical relationship between the dependent (technology acceptance) and independent (human, technological and environmental) variables. Results indicate that technology acceptance in the Kenyan public sector is significantly predicted by human variables (p=.00<.05; LL=0.325; UL=0.416); technological variables (p=.00<.05; LL=0.259; UL=0.362) and environmental variables (p=.00<.05; LL=0.282; UL=0.402). Based on the findings, it is deduced that the proposed multilevel technology acceptance model is validated. The findings also provide sufficient evidence to reject the null hypothesis that the multilevel knowledge management acceptance model is insignificant to successful technological intervention implementation. The study therefore concludes that the multilevel knowledge management acceptance model is of crucial importance to successful technological intervention implementation. The study recommends a multilevel technology deployment process at 3 key levels. The first level ought to address any gaps in the identified human-related factors, while the second level in the deployment process involves providing an enabling environment for adoption of the intervention. The third level entails the actual deployment of the technological intervention with a focus on key features of the technologies involved. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully."/> <meta name="twitter:image" content="https://airccse.org/img/aircc-logo1.jpg" />  <style type="text/css"> .rdd { text-align: center; background: #f2f2f2; color: #000; font-weight: 700; width: 130px; height: 110px; border-radius: 100%; box-shadow: inset 1px 0px 22px 3px #4080ca; font-family: 'Oswald', sans-serif; border: 5px solid #1f8ea3; margin: 5% auto; line-height: 110px; } </style> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script> <script> (adsbygoogle = window.adsbygoogle || []).push({ google_ad_client: "ca-pub-1537319084895272", enable_page_level_ads: true }); </script> </head> <body>  <div class="navbar-fixed"> <nav class="cyan lighten-2 z-depth-5"> <div class="container"> <div class="nav-wrapper"> <ul> <li id="b-logo"> <img id="brand-logo" href="index.php" class="hide-on-med-and-down" src="img/aircc-logo1.jpg"> </li> </ul> <a class="brand-logo" href="index.php">AIRCC</a> <a data-activates="side-nav" class="button-collapse show-on-small left"> <i class="material-icons">menu</i> </a> <ul class="right hide-on-med-and-down"> <li > <a href="https://aircconline.com/">Home</a> </li> <li> <a href="https://airccse.org/csit/V14N14.html">Current Issue</a> </li> <li> <a href="https://airccse.org/arch.html">Archives</a> </li> <li> <a href="https://airccse.org/csit/acontact.html">Contact</a> </li> <li> <a class="openIcon" onclick="openSearch()"> <i class="material-icons">search</i> </a> </li> </ul> </div> </div> </nav> </div>  <ul class="side-nav" id="side-nav"> <li> <div class="user-view arc"> <div class="background"> <img class="mobile-overlay" > </div> <a href="https://aircconline.com/"> <i id="cl" class="material-icons cyan-text text-lighten-2 right">close</i> </a> <a href="https://aircconline.com/"> <img class="circle" src="img/aircc-logo1.jpg"> </a> <h4 class="grey-text">AIRCC</h4> </div> </li> <li > <a href="https://aircconline.com/">Home <i class="material-icons">home</i> </a> </li> <li> <a href="https://airccse.org/csit/V14N13.html">Current Issue <i class="fas fa-users"></i> </a> </li> <li> <a href="https://airccse.org/arch.html">Archives <i class="fas fa-users"></i> </a> </li> <li> <a href="https://airccse.org/csit/acontact.html">Contact <i class="fas fa-calendar-alt"></i> </a> </li> <li>  <li> <a class="openIcon" id="icon" onclick="openSearch()"> <i class="material-icons">search</i> Search </a> </li> </ul>  <div id="myOverlay" class="overlay"> <span class="closeIcon" onclick="closeSearch()" title="Close Overlay">×</span> <div class="overlay-content"> <form action="https://airccj.org/csecfp/library/index.php"> <input type="text" placeholder="Search.." name="title"> <button type="submit"> <i class="material-icons center">search</i> </button> </form> </div> </div>  <section class="section-main"> <div class="container"> <div class="row"> <div class="col s12 m8"> <div class="card z-depth-2"> <div class="card-content"> <h5 class="cyan-text center text-darken-1"> Demystifying Technology Adoption through Implementation of a Multilevel Technology Acceptance Management Model </h5> </div> </div> <br> <div class="card"> <h5 id="about" class="brown-text text-darken-2 text-center" style="padding-bottom:0px">Authors</h5>  <div class="card-content"> <p class="left-text" style="text-align:justify"> Gilbert Busolo, Lawrence Nderu and Kennedy Ogada, Jomo Kenyatta University of Agriculture and Technology, Kenya </p> </div> </div>   <div class="card"> <h5 id="about" class="brown-text text-darken-2 text-center" style="padding-bottom:0px">Abstract</h5>  <div class="card-content"> <p class="left-text" style="text-align:justify"> Successful data driven decision making in any organization is anchored on the tenets of knowledge as a strategic resource. Successful adoption of a technological intervention to harness this pivotal resource is key. Institutions leverage on technology for prudent data management to drive knowledge management (KM) initiatives towards quality service delivery. These initiatives provide the overall strategy for managing data resources through making available knowledge organization tools and techniques while enabling regular updates. Some of the benefits derived from positive deployment of a technological intervention are competency enhancement through gained knowledge, raised quality of service and promotion of healthy development of an e-commerce operating environment. Timely, focused and successful adoption of technological interventions through which knowledge management initiatives are deployed remains a key challenge to many organizations. This paper proposes a multilevel technology acceptance management model. The proposed model takes into account human, technological and organizational variables, which exist in a deployment environment. To validate the model, a descriptive survey was conducted sampling ICT personnel in the Kenyan Public Sector. A regression analysis framework was adopted to determine the statistical relationship between the dependent (technology acceptance) and independent (human, technological and environmental) variables. Results indicate that technology acceptance in the Kenyan public sector is significantly predicted by human variables (p=.00<.05; LL=0.325; UL=0.416); technological variables (p=.00<.05; LL=0.259; UL=0.362) and environmental variables (p=.00<.05; LL=0.282; UL=0.402). Based on the findings, it is deduced that the proposed multilevel technology acceptance model is validated. The findings also provide sufficient evidence to reject the null hypothesis that the multilevel knowledge management acceptance model is insignificant to successful technological intervention implementation. The study therefore concludes that the multilevel knowledge management acceptance model is of crucial importance to successful technological intervention implementation. The study recommends a multilevel technology deployment process at 3 key levels. The first level ought to address any gaps in the identified human-related factors, while the second level in the deployment process involves providing an enabling environment for adoption of the intervention. The third level entails the actual deployment of the technological intervention with a focus on key features of the technologies involved. This model will be vital in driving early technology acceptance prediction and timely deployment of mitigation measures to deploy technological interventions successfully. </p> </div> </div> <div class="card"> <h5 id="about" class="brown-text text-darken-2 text-center" style="padding-bottom:0px">Keywords</h5>  <div class="card-content"> <p class="left-text" style="text-align:justify"> Technology Acceptance, Technology Adoption, Knowledge, Management Model, Multilevel, Technology Model </p> </div> </div> <div class="card-content"> <a href="https://aircconline.com/csit/papers/vol14/csit141405.pdf" target="_blank" class="btn btn-small lighten-2 cyan lig">Full Text</a>  <a href="https://airccse.org/csit/V14N14.html" target="_blank" class="btn btn-small lighten-2 cyan lig">Volume 14 Number 14</a> </div> </div>  <div id="side-bar" class="col s12 m4"> <div id="section-main"> <div class="card side cyan lighten-2"> <div class="card-content"> <ul> <li class="ax waves-effect waves-light"> <a class="white-text" href="https://airccse.org/editorial.html" target="blank"><i class="material-icons left">account_circle</i>Editorial Board</a> <br> </li> <br> <br> <div class="divider"></div> <br> <li class="ax waves-effect waves-light"> <a class="white-text" href="https://airccse.org/arch.html" target="blank"> <i class="material-icons fa fa-archive left"></i>Archives </a> <br> </li> <br> <br> <div class="divider"></div> <br> <li class="ax waves-effect waves-light"> <a class="white-text" target="blank" href="https://airccse.org/indexing.html"> <i class="material-icons left">local_pharmacy</i>Indexing</a> </li> <br> <br> <div class="divider"></div> <br> <li class="ax waves-effect waves-light"> <a class="white-text" target="blank" href="http://airccse.org/faq.html"> <i class="material-icons left">quiz</i>FAQ</a> </li> </ul> </div> </div> </div> </div> </div> </div> </section>  <div id="txtcnt"></div>  <footer class="page-footer cyan lighten-3"> <div class="container"> <div class="row"> <div class="footer-m col s12 m6 l3 "> <ul> <li> <img src="img/since2008.png" alt="since2008"> </li> </ul> </div> <div class="footer-m col s12 m6 l3 "> <ul> <li> <a class="white-text" href="ethics.html">Ethics</a> </li> <li> <a class="white-text" href="faq.html">FAQ</a> </li> <li> <a class="white-text" href="subscription.html">Subscription</a> </li> </ul> </div> <div class="footer-m col s12 m6 l3 offset-m1"> <ul> <li> <a class="white-text" href="acontact.html">Contact</a> </li> <li> <a class="white-text" href="https://airccse.org/sitemap.html">Sitemap</a> </li> </ul> </div> <div class="social col s12 m6 l3 offset-m1"> <ul> <li> <a class="blue-text text-darken-4" href="https://www.facebook.com/AIRCCPC" target="blank"> <i class="fab fa-facebook"> </i> </a> </li> <li> <a class="cyan-text " href="https://twitter.com/AIRCCFP" target="blank"> <i class="fab fa-twitter"></i> </a> </li> <li> <a class="red-text text-darken-4" href="https://www.youtube.com/channel/UCzkuYvuKuNCIc3jbE52IeZg" target="blank"> <i class="fab fa-youtube"></i> </a> </li> </ul> </div> </div> </div> <div class="footer-copyright grey darken-2"> <div class="container center-align"> <large class="white-text">Not for Profit @ All Rights Reserved ® AIRCC </large> </div> </div>  <div class="col s12 m10 offset-m1"> <div class="grey darken-3 center-align"> <small class="white-text">Designed and Developed by Wireilla Delivery Team</small> </div> </div> </footer> <script type="text/javascript" src="https://code.jquery.com/jquery-3.2.1.min.js"></script> <script type="text/javascript" src="js/materialize.min.js"></script> <script src="js/scrolltop.js"></script> <script src="js/search.js"></script> <script src="js/popup.js"></script> <script src="js/main.jquery.js"></script> </body>  </html>

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Demystifying Technology Adoption through Implementation of a Multilevel Technology Acceptance Management Model