Relevant bibliographies by topics / Rogers's Diffusion of Innovation

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Academic literature on the topic 'Rogers's Diffusion of Innovation'

Author: Grafiati
Published: 25 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Rogers's Diffusion of Innovation"

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Hamid, Shahnaz. "Singhal Arvind and James W. Dearing (ed.). Communication of Innovations: A Journey with Everett Rogers. New Delhi: Sage Publications. 2006. 259 pages. Paperback. Indian Rs 360.00." Pakistan Development Review 45, no. 3 (September 1, 2006): 496–97. http://dx.doi.org/10.30541/v45i3pp.496-497.

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The book “Communication of Innovations” comprises of ten essays that focus and highlight the ideas and works of a highly renowned student and proponent of diffusion of innovations, communication networks, and social change—Everett Rogers. Each chapter of the book discusses different aspects of Rogers’s dynamic personality, his individual and remarkable ways of working and advancing in his field. This book presents introductory remarks to Everett Rogers’ personality. His beginnings in the field of communication of innovation, his focus on diffusion of innovation, his optimism, his main intellectual contribution, the combination of the diffusion of innovation models and the main purpose of writing this book to ‘honour the memory and contributions’ of Rogers is also elaborated.
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Ryynänen, Sanna, and Riitta Uusisalmi. "Technological Innovations Through Digital Service Design in Hospital Districts." International Journal of Innovation in the Digital Economy 12, no. 2 (April 2021): 48–62. http://dx.doi.org/10.4018/ijide.2021040104.

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The aim of the study is to describe and increase understanding about digital service design in creating technological innovations in Finnish hospital districts. The data was collected via an open questionnaire during March-August 2019 and analyzed using a combined thematic and narrative analysis. Three distinct themes arose from the research narratives: cooperation, development, and cost. First, the importance of cooperation in the early stages of the service design process, when new technological innovation ideas are developed, was emphasized. Second, the possibilities of digitalization and need for new innovations were taken into account in the development theme. Third, costs define the utilization of an innovation and guide its initial development. If savings and costs are in balance, technological innovations will move forward. Moreover, the findings show that technological innovations in hospital districts progress in a certain pattern, and the utilization of innovations come from the need and pressure to evolve. Keywords Adoption of Innovation, Deployment of Innovation, Digital Service Design, Rogers's Diffusion of Innovation Theory, Service Design, Service Innovation, Specialized Medical Care
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Steckler, Allan, Robert M. Goodman, Kenneth R. McLeroy, Sonia Davis, and Gary Koch. "Measuring the Diffusion of Innovative Health Promotion Programs." American Journal of Health Promotion 6, no. 3 (January 1992): 214–24. http://dx.doi.org/10.4278/0890-1171-6.3.214.

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Once a health promotion program has proven to be effective in one or two initial settings, attempts may be made to transfer the program to new settings. One way to conceptualize the transference of health promotion programs from one locale to another is by considering the programs to be innovations that are being diffused. In this way, diffusion of innovation theory can be applied to guide the process of program transference. This article reports on the development of six questionnaires to measure the extent to which health promotion programs are successfully disseminated: Organizational Climate, Awareness-Concern, Rogers's Adoption Variables, Level of Use, Level of Success, and Level of Institutionalization. The instruments are being successfully used in a study of the diffusion of health promotion/tobacco prevention curricula to junior high schools in North Carolina. The instruments, which measure the four steps of the diffusion process, have construct validity since they were develóped within existing theories and are derived from the work of previous researchers. No previous research has attempted to use instruments like these to measure sequentially the stages of the diffusion process.
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RIXEN, MARTIN, and JÜRGEN WEIGAND. "AGENT-BASED SIMULATION OF CONSUMER DEMAND FOR SMART METERING TARIFFS." International Journal of Innovation and Technology Management 10, no. 05 (October 2013): 1340020. http://dx.doi.org/10.1142/s0219877013400208.

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An agent-based model simulates consumer demand for smart metering tariffs. It utilizes the Bass Diffusion Model and Rogers's adopter categories to locate demand-side barriers and drivers. Integration of empirical census microdata enables a validated socio-economic background for each consumer. The key performance indicators diffusion-speed and diffusion-level measure the effectiveness of regulatory interventions to induce diffusion. Pricing, promotion and quantity-regulation policies are tested. Scenario results emphasize the impact of both epidemic and probit effects. Speed of adoption is mainly triggered via interactions and consumer awareness. Level of diffusion primarily depends on pricing, willingness-to-pay and cost-benefit-thresholds. Data mining on agent's attributes highlight weaknesses in current regulatory requirements due to disadvantages in consumer acceptance and policy effectiveness. A "cash-for-clunkers" program could tackle major barriers for adoption and boost diffusion through synergies of pricing and promotion interventions.
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Lundberg, Mary, Susanne Engström, and Helena Lidelöw. "Diffusion of innovation in a contractor company." Construction Innovation 19, no. 4 (October 7, 2019): 629–52. http://dx.doi.org/10.1108/ci-08-2018-0061.

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Purpose In the construction industry, it has proven difficult to implement and realize innovation efforts, for example in the development of industrialized construction and use of platform concepts. Thus, the purpose of this study is to characterize the innovation diffusion process in the social system of a large Swedish contractor company. Specifically, the diffusion of three innovative industrialized house-building (IHB) platforms and factors affecting their adoption and implementation (particularly effects of their perceived radicality in relation to the company’s decentralized characteristics) are identified and discussed. Design/methodology/approach A case study approach was applied, using empirical material including semi-structured interviews and archival records (research reports from earlier studies at different points in time related to each innovation and annual corporate reports). The material was analyzed using Rogers’ (2003) five-stage innovation process model, acknowledging the importance of social systems’ structures. Findings Structural characteristics of the social system strongly affect innovation diffusion. In subsystems that had not been involved in initiation of the innovations, they were regarded as radical, which hindered their adoption and implementation. Research limitations/implications This study builds upon the recent findings that successful innovation implementation depends on a range of contingencies in the construction context. Although the diffusion of the innovations per se has been traced over a ten-year period, generalizability is limited because the results come from one construction company. Practical implications Contractors have invested substantially in the development of industrialized construction and use of platform concepts, but less in their implementation, so they have obtained little gain. How innovations are perceived and implemented in different subsystems affects the success of their implementation in the overarching social system. Originality/value This study adheres to previous calls for more research on firm level in the complex social system of construction companies by adopting a ten-year perspective on the diffusion of innovation at a large contractor addressing in particular the impact of the innovations perceived radicality in relation to the decentralized characteristics of the company.
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Rosana, Nurul, Nuddin Harahab, Gatot Ciptadi, and Andi Kurniawan. "Theoretical Study: The Diffusion of "Piknet" Innovation Sound Wave Attractor In Bulak District, Surabaya." Technium Social Sciences Journal 23 (September 9, 2021): 763–67. http://dx.doi.org/10.47577/tssj.v23i1.4535.

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Diffusion of innovation is a process which needed in an effort to adapt to an idea or technology so that a person or group of people can adopt a new subject through the stages set. The purpose of this research is to hope that the process of accepting the attractor based on the "Piknet" sound wave as an innovation can be studied based on the diffusion theory of innovation from Rogers. The method used in this research is a literature review which was carried out for 2 (two) months, in June and July 2021. The object of the writing is to deepen Rogers' theory of the diffusion of innovations that can be used as a basis for determining the stages of the wave-based attractor diffusion process. the sound of "Piknet" to groups of fishing fishermen in Bulak District, Surabaya. Rogers' innovation diffusion theory can be used as the basis for the diffusion process of "Piknet" sound wave-based attractor innovation in Bulak District, Surabaya, using elements and stages of the decision process that are adapted to the conditions of the local community.
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Sarrina Li, Shu-Chu, Linlin Ku, and Yuli Liu. "Using Rogers's Diffusion of Innovation Model to Examine the Willingness to Pay for Public Television in Taiwan." International Journal on Media Management 15, no. 2 (April 2013): 99–118. http://dx.doi.org/10.1080/14241277.2013.775576.

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Achuthan, Krishnashree, Prema Nedungadi, Vysakh Kolil, Shyam Diwakar, and Raghu Raman. "Innovation Adoption and Diffusion of Virtual Laboratories." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 09 (August 13, 2020): 4. http://dx.doi.org/10.3991/ijoe.v16i09.11685.

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<p class="Title1" align="left">Educational technology such as Virtual laboratories (VLs) are being perceived as sustainable solutions to growing concerns related to laboratory skill training i.e. delivering quality laboratory education to a large number of students due to shortage of infrastructure and access especially in developing nations. With these VLs being an innovation for engineering education, the study of its diffusion in higher educational institutions is critical for gauging its impact. This study examines the five variables of Rogers Diffusion of Innovations theory in determining how VLs have changed or modified users through its adoption. The involvement of early adopters participating through a program called Nodal centers and their innovation decision stages are addressed. The study also analyzed the change agents as the nodal centers for diffusing the innovation in teaching and learning processes. Virtual laboratory adoption by users (n=43600) over 30 months was surveyed and factors of diffusion were reported. Similar scoring in assessment factors suggested relative advantage, technology acceptance, intention of use and relevance of trialability were pertinent in users' perception of VLs. Social hubs among higher education institutions promoted early adoption through better engagement of students.</p>
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Wonglimpiyarat, Jarunee, and Napaporn Yuberk. "In support of innovation management and Roger's Innovation Diffusion theory." Government Information Quarterly 22, no. 3 (January 2005): 411–22. http://dx.doi.org/10.1016/j.giq.2005.05.005.

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Dayyala, Niharika, Syed Kashif Raza Zaidi, and Kallol Bagchi. "Diffusion of IFRS using innovation diffusion models." International Journal of Accounting & Information Management 28, no. 4 (June 1, 2020): 685–701. http://dx.doi.org/10.1108/ijaim-01-2020-0002.

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Purpose This study aims to examine the diffusion pattern of International Financial Reporting Standards (IFRS) into the countries and identifies the channels of diffusion. Design/methodology/approach Data includes 98 countries that made a public commitment to IFRS adoption from 2000 to 2016. Adoptee countries are categorized based on Rogers’ adopter categorizations to understand country characteristics. Innovation diffusion models such as internal influence, external influence and bass diffusion that explain diffusion patterns are applied to the cumulative adoption of IFRS. Coefficients of internal and external diffusion are obtained using the models to explain the mode of diffusion pattern of IFRS. Further tests are done to identify the best model that explains IFRS diffusion. Findings Findings show that IFRS diffusion is a result of external influence through vertical communication from a centralized body (IASB) and internal influence due to imitation and interpersonal communication between countries. Imitation effect among the countries has a stronger effect on the IFRS adoption compared to the communication obtained from IASB. Practical implications Findings obtained can help standards-setting bodies, organizations and countries to understand the potential future of adopters and non-adopters. It facilitates the standard-setting bodies to manage IFRS diffusion by implementing measures to spread the word on the benefits of IFRS. Originality/value The study generates value by modeling a successive increase in the number of IFRS adoptee countries using empirical methods and identifies the reasons for the diffusion life cycle of IFRS.
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Dissertations / Theses on the topic "Rogers's Diffusion of Innovation"

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Gomes, Rafael, and Sema Seyfi Osman. "Managing Organizational Adoption of IoT : Revisiting Rogers' Diffusion of Innovation Theory." Thesis, Uppsala universitet, Industriell teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-398123.

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As a disruptive innovation, IoT has been creating a high impact over organizations’ current strategies and business models. This continuous process of change will have an increasing influence on how organizations and industries as a whole conduct their businesses, and is set to have an active role towards the development of entirely new business models and markets. With the development of IoT technologies, and its predicted exponential spread across all sectors of society, one can conclude that the future holds many opportunities for organizations looking to explore new ways of capturing and creating value, but at the same time there are also plenty of challenges to be addressed. While the diffusion and adoption process of IoT has been an ongoing phenomenon over the past decade, there is still not much certitude as to how organizations ought to adjust in order to successfully integrate IoT technologies in their structure and operations. In parallel fashion, there have also been many difficulties in ensuring that different smart, connected devices and ecosystems are able to effectively communicate between each other, as achieving interoperability has become one of the major concerns associated with IoT. The main focus of this study is to analyze the process of how organizations are currently integrating IoT within their businesses, while also investigating causes that hinder interoperability, and evaluating the future potential deployment of the Open IoT ecosystems in companies. For our research we have followed a case-study approach where we conducted semi-structured interviews with managers and project leaders from two organizations conducting pilot studies on Green IoT and Open IoT, and where one has been adopting IoT technologies in its business. Theoretically, we draw on a framework by combining Rogers’ Diffusion of Innovations theory and Christensen’s theory of Disruptive Innovations in order to analyze the integration of IoT into businesses’ core structure. The research goes through a functional framework that outlines the process of IoT adoption while also presenting the present challenges that are faced by the actors in the industry and the key enablers for successful IoT integration.
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Lewis, Gayle Arnn. "Leadership Products As Innovations In The Context Of Rogers' Diffusion Theory." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29839.

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In this study, two implementable leadership products were analogous to innovations, when framed in the context of Rogers’ diffusion-of-innovation theory. Thus, the products’ respective dissemination patterns were compared and contrasted-- quantitatively through purchase numbers, and qualitatively through opinions and events recollected by early users. The case-study approach was central to the investigation, and the results supported the Rogers model with regard to most constructs. The results pertaining to the S-shaped (sigmoidal) prototypical distribution curve, however, were enigmatic. The inverse conformity of sales figures with the S-shaped distribution curve implied that the dissemination process began during the field-testing stage rather than the purchasing stage. The organizational structure of the user institutions (targeted social system construct) conformed to Rogers’ theory that autonomy and teamwork characterized management climates where innovation tended to flourish. Field-testers and other early users were opinion leaders as construed by Rogers. The fact that twice as many field tests were conducted for the Case Studies as for the Simulation was likely a factor in the disparate 6:1 ratio of units of Cases sold to units of the Simulation sold for three consecutive years. Other factors possibly accounting for the disparate sales came from the attributes-of-innovation template which framed five generic attributes--compatibility, relative advantage, complexity, trialability, and observability. Both products conformed to the attributes as conceptualized by Rogers. The main difference that influenced the disparate sales was the greater complexity of the Simulation than of the Cases, although cost may have been a compatibility/relative advantage contributory factor. Finally, the study’s results indicated that dissemination parameters may have been narrowed by (a) the absence of mass media communication channels as part of the dissemination strategy at the awareness stage, and (b) lack of market research to focus the naming and packaging of the products for optimum compatibility and relative advantage. Researchers and change agencies can use these findings to improve future dissemination strategies and product designs.
Ph. D.
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Alsobhi, Rania Masoud M. "Factors to Consider for Implementing Blended Learning in Saudi Higher Education Institutions: An Integrative Literature Review." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103963.

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Blended/hybrid learning, a combination of face to face and online learning to deliver instruction, is growing in popularity at institutions of higher education, and may lead to many benefits for students, faculty, and administrators. However, the implementation of blended learning (BL) is a complex process. Although the move towards BL adoption is generally accepted by faculty, questions still remain when it comes to adopting and implementing standards across institutions. Given this problem, this integrative literature review was conducted to identify possible factors that impact the process of implementing BL smoothly and successfully at higher education institutions. The purpose of this study was to identify related institutional factors from empirical studies published from 2000 to 2020. Findings from this study may offer institutions a guide to effectively create, execute, and assess BL programs and courses. The study provides recommendations that may be impactful for decision-makers at Saudi higher education institutions.
Doctor of Philosophy
Blended/hybrid learning, a combination of face to face and online learning to deliver instruction, has become popular at universities because it provides advantages for students, faculty members, and the university itself. However, the implementation of blended learning (BL) is a challenging process, and in many instances there is not enough guidance available to assist universities through the process. For this reason, this study has been conducted with the goal of identifying possible factors relating to implementing BL smoothly and successfully at universities. Findings from this study may offer institutions a guide to effectively create, execute, and assess BL programs and courses. The study provides recommendations that may be impactful for decision-makers at Saudi universities
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Leader, Joseph Paul. "The Adoption and Diffusion of the Air Taxi/Air Charter Travel Innovation." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5366.

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The inefficient use and knowledge of direct, on-demand air taxi/air charter flights in the United States was the topic of this dissertation. The general problem studied was the inefficient use of air transportation options by business travelers in the United States. The specific problem was how business travelers in the United States learn of and thereby elect to embrace a newer air travel option. Using Rogers's diffusion of innovations theory as the framework, the dissemination of air travel choices made by business travelers using ImagineAir air taxi service in the United States was explored via a qualitative case study research design methodology. Thirty-five semistructured interviews and matching customer database information provided data for the study, Data were later analyzed for emergent themes and codes using MAXQDA software. Key research questions included communication of the innovation, business travelers' perceptions of the innovation, timeframe of innovation adoption, business environment enabling the innovation adoption, and the Rogers self-described adopter type. The results showed that compatibility, relative advantage, risk, and complexity influence the perception of business travelers about air taxi services. Based on the research, the course of action suggests that business travelers will most rapidly embrace air taxi service via internet dissemination of this new option. With continued success in dissemination, positive social change will come in the form of efficiencies as business travelers use more than 5,000 virtually idle airports and over 7,000 on-demand air taxi aircraft as highlighted by U.S. government studies further bolstered by this research.
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CHINNAPANDIAN, ANAND, and MOHAMMAD BABAEI. "Innovation analysis of the adoption of BIM using Innovation theories." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279731.

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When compared to other industries, the construction industry has been slow to adopt digital technologies. BIM stands for Building Information Modeling (hereon referred to as BIM) and it represents a turning point when it comes to digitalization in the AEC sector. Despite BIM’s proven potential to reduce costs and improve the efficiency of construction projects, widescale adoption, and implementation of construction projects using BIM hasn’t happened yet. This research aims to conduct an innovation analysis of adoption of BIM in Europe using innovation theories such as Rogers’s diffusion theory and Crossing the Chasm by Moore. We hope the reader will have an understanding of the various adoption barriers for BIM in Europe after reading this research paper.
Jämfört med andra branscher har byggbranschen varit långsam med att använda digital teknik. BIM står för Building Information Modeling (nedan kallad BIM) och representerar en vändpunkt när det gäller digitalisering inom AEC-sektorn. Trots BIM: s beprövade potential att minska kostnaderna och förbättra effektiviteten i byggprojekt, har vidsträckt antagande och genomförande av byggprojekt med BIM ännu inte hänt. Denna forskning syftar till att göra en innovationsanalys av antagandet av BIM i Europa med hjälp av innovationsteorier som Rogers diffusionsteori och Crossing the Chasm av Moore. Vi hoppas att läsaren kommer att ha en förståelse för de olika adoptionsbarriärerna för BIM i Europa efter att ha läst detta forskningsdokument.
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Abdelmagid, Randa Fouad Abdelhafiz. "Technology Adoption and Integration: A Multiple Case Study of Rogers' Diffusion of Innovation Theory in Kuwait." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/78002.

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The adoption and integration of technology is limited in K-12 contexts worldwide, including in the Middle East. Based on the work of Everett Rogers (1995) and his disciplines, studies in the United States indicate that teachers' perceptions towards the attributes of technology (relative advantage, compatibility, complexity, trialability and observability) reflect the extent by which technology is used. Furthermore, teachers' characteristics and the support environment provided can potentially encourage or inhibit the adoption of technologies. This multiple case study was designed to show the applicability of Rogers' diffusion of innovation theory in Kuwait public school systems. The study was conducted with eight female Kuwaiti teachers in two primary public schools. A qualitative methodology was employed using interviews, participant observations, and physical artifacts for collecting data. The study reveals that Rogers' three attributes relative advantage, compatibility and observability (result demonstrability) contributed to use, while complexity and observability (visibility) limited use. Prior experience and practice, motivational support provided by the school administration and department head, and teachers' voluntary decisions on the type of technologies to use encouraged use. Anxiety from lack of functionality of devices and extra time and effort in preparing materials, centralized decision-making on technology purchases, budget constraint, and limited access to technology and classrooms in which devices are located were factors that limited teachers' use. The study showed that Kuwaiti teachers' acceptance of technology varied along the continuum, where some teachers were early adopters and some were laggards. Support initiatives are needed from the Ministry of Education and school administration, in order to facilitate technology adoption and use in Kuwaiti schools.
Ph. D.
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Umberger, Reilly Jackson. "Who Will Be the First to Buy Autonomous Vehicles? An Application of Everett Rogers’ Diffusion of Innovations Theory." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1267.

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Autonomous, otherwise known as self-driving, vehicles represent the future of transportation. Vehicles that drive themselves offer far reaching benefits from increased leisure and productivity for individuals to significant improvements in congestion and infrastructure for governments. The autonomous car will radically change the way we look at transportation, and they are right around the corner. However, the question remains: are we ready? Are we, as a society, ready to hand over the steering the wheel and trust autonomous vehicles with our safety? This paper predicts how the autonomous car will spread through society by analyzing and applying the product qualities and consumer types described in Everett Rogers’ Diffusion of Innovations Theory. Corporations, specifically Uber and Amazon, as opposed to individual consumers, will be the first to adapt, purchase and implement autonomous vehicles. Contrary to popular belief, these vehicles will not be successfully introduced as privately owned vehicles, and therefore, must be marketed towards corporations and organizations.
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Sundström, Emelie, and Emma Södergren. "Going the Extra Mile : Urban Delivery of Large Goods." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300176.

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In light of the growing e-commerce and rising population in cities, along with the ongoing climate crisis, the efforts to improve transportation options are intensifying. Thus, the field of last-mile delivery, i.e., the last stretch of transportation to an end customer, is becoming an increasingly researched topic. Innovative delivery solutions, leveraging novel technology or business concepts, are quickly becoming a necessity to retain customer satisfaction while performing sustainable and cost-efficient deliveries. Facing the challenges associated with the last mile is especially arduous in the context of large goods, i.e., packages which are significantly larger than parcels that would fit in a regular mail or post box, and may include furniture, home appliances and other bulky tools. Despite that large goods delivery comprises a large market, there is limited research on how novel last-mile delivery innovations, mainly discussed for application on parcels, can be deployed for larger items. This thesis is an explorative and qualitative study which starts in a background of important trends in transportation, and moves on to provide an analysis of three cities (Barcelona, San Francisco and Seoul), as well as a fourth city (Stockholm) that is both analyzed and considered for implementation. This is done in the form of a case study where data is collected from a literature review as well as interviews with representatives from the company IKEA. Various last-mile delivery concepts are explained and analyzed with Rogers’ diffusion of innovation framework. The research generated insights on how a mixture of different solutions have emerged on the studied markets, mainly based on social, technological and regulatory factors. Although most of them would be theoretically usable for medium to large goods in the future, there are different obstacles to a commercial-scale adoption today, with technological and regulatory maturity being main hurdles. Parcel deliveries play a part in driving customer expectations forward, forcing large goods retailers to evolve their deliveries in order to not lose business. Ecosystems of delivery solutions are likely to emerge in the future, catering to customers’ flexibility demands. In terms of concrete solutions, e-cargo bikes, pick-up points and neighbourhood deliveries are identified as appropriate for the current market state of Stockholm and related third party agreements, physical properties and platforms are discussed in the context of implementation. Additionally, suggestions for future research is to consider further models for generalizing implementation requirements, along with deepening the analysis of last-mile delivery ecosystems by looking into actors for the suggested solutions.
I och med ökande e-handel och stigande befolkning i städer, i kombination med en pågående klimatkris, intensifieras ansträngningar för att förbättra existerande transportalternativ. Därmed ökar mängden av forskning som fokuserar på last-mile delivery (ungefär sista milen-leverans), med andra ord den sista biten av en transportsträcka innan en vara når slutkunden. Innovativa leveranslösningar, som drar nytta av ny teknik eller nya affärsmodeller, håller snabbt på att bli en nödvändighet för att upprätthålla kundnöjdhet, samtidigt som leveransers kostnadseffektivitet och hållbarhet måste säkerställas. Utmaningarna som är associerade med sista milen är särskilt svårlösta när det kommer till stort gods, vilket är kollin som är signifikant större än vanliga paket som skulle få plats i en brevlåda eller postbox, och inkluderar bland annat möbler, vitvaror och andra skrymmande varor. Trots att leverans av stort gods utgör en omfattande marknad så är den befintliga forskningen begränsad vad gäller hur nya last-mile-innovationer kan användas för stort gods; detta diskuteras framförallt i samband med vanliga paket. Denna uppsats är en explorativ och kvalitativ studie som tar avstamp i en bakgrund som beskriver viktiga transporttrender och vidare analyserar tre städer (Barcelona, San Francisco och Seoul), samt en fjärde stad (Stockholm) som både analyseras och diskuteras för potentiell implementation. Detta utförs i form av en fallstudie där datan inkluderar en litteraturstudie samt intervjuer med representanter från företaget IKEA. Flertalet last-mile-leveranskoncept förklaras och analyseras med Rogers’ teori för innovationers spridning. Studien gav insikter om hur en blandning av olika lösningar har uppkommit på de undersökta marknaderna, i huvudsak beroende av sociala, tekniska och legala faktorer. Fastän de flesta i teorin skulle kunna appliceras på medelstort till stort gods i framtiden så finns det idag olika svårigheter som bromsar införandet av dessa på en kommersiell skala; teknisk och legal mognad verkar vara de huvudsakliga hindren. Paketleveranser spelar en viktig roll i att driva på kundernas förväntningar, vilket tvingar försäljare av stora varor att utveckla sina leveranser för att inte tappa sin omsättning. Ekosystem av leveranslösningar kommer troligen att utvecklas i framtiden för att möta kundernas krav på flexibilitet. Vad gäller konkreta lösningar identifieras elektriska lastcyklar, upphämtningsställen och grannskapsleveranser som passande för dagens Stockholm, och följande tredjepartsavtal, fysiska egenskaper och plattformar diskuteras i implementationssammanhang. Fortsatt föreslås framtida studier att överväga ytterligare modeller för att vidareutveckla och generalisera implementationskrav, samt att fördjupa analysen av ekosystem relaterade till last-mile-leveranser genom att undersöka involverade aktörer för de föreslagna lösningarna.
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Mosley, Barbra F. "Development of a Technology Mentoring Program Using Rogers' Diffusion of Innovations." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/26135.

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This developmental research used primary components of Rogers' Diffusion of Innovations theory to develop a technology mentoring program for K-12 instructional environments. This investigation utilized K-12 teachers, administrators, technology coordinators, and higher education faculty to evaluate the effectiveness of the proposed technology mentoring program. Findings showed that this program would be very effective in K-12 instructional environments. The final product resulted in a step-by-step procedural guide consisting of suggestions and activities that can be used to implement a technology mentoring program.
Ph. D.
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Scholz, Carolyn Elaine. "Applying Rogers' theory of diffusion of innovations to examine older females' perceptions of size labels for apparel." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ62843.pdf.

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Books on the topic "Rogers's Diffusion of Innovation"

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Gatignon, Hubert. Diffusion of innovation. Brussels: European InstituteFor Advanced Studies in Management, 1989.

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Hall, Bronwyn H. Innovation and diffusion. Cambridge, Mass: National Bureau of Economic Research, 2004.

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Hall, Bronwyn H. Innovation and diffusion. Cambridge, MA: National Bureau of Economic Research, 2004.

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Hölttä, Risto. Multidimensional diffusion of innovation. Helsinki: Helsinki School of Economics and Business Administration, 1989.

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Hoff, Philipp H. Greentech Innovation and Diffusion. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3601-1.

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1944-, Peterson Robert A., ed. Models for innovation diffusion. Beverly Hills: Sage Publications, 1985.

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Mahajan, Vijay, and Robert Peterson. Models for Innovation Diffusion. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1985. http://dx.doi.org/10.4135/9781412985093.

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Hightower, Ross T. Diffusion of information technology in organizations: A test of Roger's optional adoption-decision model. Ann Arbor, Mich: UMI Dissertation Services, 2001.

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Deschênes, Lucie. New information technologies: Innovation and diffusion. Laval, Quebec: Government of Canada, Dept. of Communications, Canadian Workplace Automation Research Centre, Organizational Research Directorate, 1989.

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Piasecki, Peter. Das deutsche Salinenwesen: Invention, Innovation, Diffusion. Idstein: Schulz-Kirchner Verlag, 1987.

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Book chapters on the topic "Rogers's Diffusion of Innovation"

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Klingelhöfer, Stefan. "Rogers (1962): Diffusion of Innovations." In Schlüsselwerke der Netzwerkforschung, 489–93. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21742-6_115.

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Fontana, Roberto, and Franco Malerba. "Innovation Diffusion." In The Palgrave Encyclopedia of Strategic Management, 1–4. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94848-2_346-1.

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Fontana, Roberto, and Franco Malerba. "Innovation Diffusion." In The Palgrave Encyclopedia of Strategic Management, 738–41. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_346.

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Cordell, Andrea, and Ian Thompson. "Innovation Diffusion Matrix." In The Procurement Models Handbook, 174–76. Third edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019. | Earlier editions published as: Purchasing models handbook: a guide to the most popular business models used in purchasing / Andrea Reynolds and Ian Thompson.: Routledge, 2019. http://dx.doi.org/10.4324/9781351239509-53.

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Murayama, Yuji. "Diffusion of Innovation." In The GeoJournal Library, 37–57. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-2006-9_3.

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Meldrum, Mike, and Malcolm McDonald. "Diffusion of Innovation." In Key Marketing Concepts, 117–20. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13877-7_23.

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Karmeshu and V. P. Jain. "Modelling Innovation Diffusion." In Innovative Behaviour in Space and Time, 64–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60720-2_4.

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Howaldt, Jürgen, Ralf Kopp, and Michael Schwarz. "Diffusion von Innovation." In Handbuch Innovationsforschung, 1–17. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-17671-6_8-1.

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Iyamu, Tiko. "Diffusion of innovation." In Applying Theories for Information Systems Research, 111–25. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003184119-7.

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Howaldt, Jürgen, Ralf Kopp, and Michael Schwarz. "Diffusion von Innovation." In Handbuch Innovationsforschung, 103–19. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-17668-6_8.

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Conference papers on the topic "Rogers's Diffusion of Innovation"

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GOWSIGA, M., and H. S. JAYASENA. "DIFFUSION OF PROFESSION IN SRI LANKAN ORGANISATIONS: FACILITIES MANAGEMENT." In 13th International Research Conference - FARU 2020. Faculty of Architecture Research Unit (FARU), University of Moratuwa, 2020. http://dx.doi.org/10.31705/faru.2020.4.

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Abstract:
Facilities Management (FM) is the integrated management of the workplace to enhance the performance of the organization. It is obvious that competent FM will arouse effective working performance and the value of the organisation by increased employee productivity. Diffusion of Innovation (DOI) theory helps to explain the adoption process of innovation by modelling its entire life cycle according to the aspects of communications and human information interactions. Thus, this research aims to identify the influencing factors and nature of their effect on FM diffusion in Sri Lankan organisations, FM as a sample for the profession. A qualitative research approach was selected to conduct the research. A comprehensive literature synthesis was carried out at first to determine the existing data and also to develop the questionnaire survey which was designed for top management of FM adopted organisations in Sri Lanka. The questionnaire respondents were selected randomly with the available information. Collected data were analysed using manual content analysis and which was validated using a 95% confidence interval test. Research findings revealed that majority of FM adoption decision was taken in the Sri Lankan organisations by Board of Directors/ Managing Director which is authority type organizational innovation-decision and there is nothing which belongs to collective categories such as the decision of the government or any corporation or councils or board. Moreover, the Rogers generalizations regarding internal characteristics for the innovative organizations are most appropriate with the Sri Lankan FM adopted organizations.
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Cirus, Lukas, and Ivana Simonova. "Rogers' Diffusion of Innovation Theory Applied on Primary Education: Case Study of Czech Teachers." In 2020 International Symposium on Educational Technology (ISET). IEEE, 2020. http://dx.doi.org/10.1109/iset49818.2020.00017.

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Stepanov, Saša, Todor Petković, and Nemanja Stepanov. "DIFFUSION INNOVATION." In 5th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2019. http://dx.doi.org/10.31410/eraz.2019.353.

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Chatfield, Akemi Takeoka, and Christopher G. Reddick. "Open Data Policy Innovation Diffusion." In dg.o '16: 17th International Digital Government Research Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2912160.2912173.

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Chunxiao, Sun, and Liu Guoyan. "Technological Innovation Diffusion Model and Evaluation on Innovation Efficiency." In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iciii.2009.265.

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Boumaiza, Ameni, Sofiane Abbar, Nassma Mohandes, and Antonio Sanfilippo. "Innovation diffusion for renewable energy technologies." In 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). IEEE, 2018. http://dx.doi.org/10.1109/cpe.2018.8372592.

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Matayong, Sureena, and Ahmad Kamil Mahmood. "KMS innovation diffusion at company X." In 2011 International Symposium on Humanities, Science and Engineering Research (SHUSER). IEEE, 2011. http://dx.doi.org/10.1109/shuser.2011.6008508.

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Bing, Sun, and Yu Wan-Qin. "Enterprise Knowledge Heterogeneity and Innovation Diffusion." In 2017 International Conference on Management Science and Engineering (ICMSE). IEEE, 2017. http://dx.doi.org/10.1109/icmse.2017.8574454.

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Rai, Rahul, and Venkat Allada. "Eco-innovation diffusion in artifact systems." In Intelligent Systems and Advanced Manufacturing, edited by Surendra M. Gupta. SPIE, 2002. http://dx.doi.org/10.1117/12.455281.

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Hui, Ka Hung, Vijay Subramanian, Dongning Guo, and Randall Berry. "Diffusion of innovation in two-sided markets." In 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2012. http://dx.doi.org/10.1109/allerton.2012.6483249.

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Reports on the topic "Rogers's Diffusion of Innovation"

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Hall, Bronwyn. Innovation and Diffusion. Cambridge, MA: National Bureau of Economic Research, January 2004. http://dx.doi.org/10.3386/w10212.

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Eaton, Jonathan, and Samuel Kortum. Innovation, Diffusion, and Trade. Cambridge, MA: National Bureau of Economic Research, July 2006. http://dx.doi.org/10.3386/w12385.

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Lind, Nelson, and Natalia Ramondo. Innovation, Knowledge Diffusion, and Globalization. Cambridge, MA: National Bureau of Economic Research, September 2018. http://dx.doi.org/10.3386/w25071.

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Hamilton, Barton, Andrés Hincapié, Robert Miller, and Nicholas Papageorge. Innovation and Diffusion of Medical Treatment. Cambridge, MA: National Bureau of Economic Research, May 2018. http://dx.doi.org/10.3386/w24577.

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Santacreu, Ana Maria. Innovation, Diffusion, and Trade: Theory and Measurement. Federal Reserve Bank of St. Louis, 2014. http://dx.doi.org/10.20955/wp.2014.042.

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Santacreu, Ana Maria, Nan Li, and Jie (April) Cai. Knowledge Diffusion, Trade and Innovation across Countries and Sectors. Federal Reserve Bank of St. Louis, 2017. http://dx.doi.org/10.20955/wp.2017.029.

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Hall, Bronwyn, and Christian Helmers. Innovation and Diffusion of Clean/Green Technology: Can Patent Commons Help? Cambridge, MA: National Bureau of Economic Research, March 2011. http://dx.doi.org/10.3386/w16920.

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Worden, Steven. The diffusion of a controversial innovation in the Alsea, Oregon area. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3143.

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Comin, Diego, Mark Gertler, and Ana Maria Santacreu. Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations. Federal Reserve Bank of St. Louis, 2014. http://dx.doi.org/10.20955/wp.2014.045.

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Karen Fisher-Vanden. Modeling Technology Innovation and Diffusion in Transition Economies: The Case of China. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/859086.

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