Ecuadorian farmers do not play the investment game (Berg 1995) the same with community farmers as they do with agricultural technicians. Women exhibit a preference for trust in agricultural technicians (vertical trust). Using experimental and survey data from 191 farmers we examine factors associated with 1) farmer trust in community farmers, 2) farmer trust in agricultural technicians, and 3) differences between levels of trust in agricultural technicians and community farmers. Then we explore how our measures of trust correlate with pesticide knowledge and purchase of pesticide safety equipment; in addition, we consider how our measures of trust correlate with accessing bank loans. Farmers who place more trust in community farmers score lower on our pesticide knowledge exam and they are less likely to adopt our pesticide safety equipment technology. We find that farmers who exhibit a preference for trusting agricultural technicians score higher on our pesticide knowledge exam; they are also more likely to report having accessed a bank loan. / Master of Science

Yes / Increased use of smart technologies by customers is leading to recognition of their influence on the shopping experiences of customers by practitioners. However, the academic literature fails to acknowledge the influence of smart technology usage, combined with behavioural intention of the customer, on the dynamics and experience of customers. This research utilises explanatory research at the preliminary stage to examine this phenomenon in a retail setting. A conceptual framework was created, based on the scholarly knowledge available in extant literature, and was tested using a survey of a convenience sample of 330 consumers shopping in a high-end retail store in London, United Kingdom. Structural Equation Modelling (SEM) via AMOS was employed to test the proposed model. This study contributes to technology adoption based consumer behaviour literature, by explaining the ability of learning commitment to drive the participation of an individual, but its inability to influence their behavioural intention. Findings of this research also reflect on the role of customer dynamics and customer experience in embracing innovative application of smart technologies in a retail setting. The results and implications included in our study also contribute to the understanding of the determinants that affect customer dynamics and customer experience when making use of smart technologies.

Innovative technologies for construction project management are constantly emerging in the construction industry's global landscape, yet the rate of failed projects within the Nigerian construction sector due to poor coordination of construction tasks is on the rise. An unanswered question in the literature remains as to why construction project managers in Nigeria remain slow to adopt new technologies for improving decision-making processes and project success rates. The purpose of this qualitative single case study with embedded units was to understand the perceptions of construction project managers in Nigeria regarding their barriers to technology adoption. This study was framed by 2 conceptual models: Usman and Said's model of factors contributing to information and communication technology adoption in Nigerian construction firms and Waziri, Mustapha, and Idris' model of factors influencing IT adoption in Nigerian construction organizations. Semistructured interviews involving 10 participants, reflective field notes, and archival data provided information regarding the barriers to technology adoption experience of construction project managers in Nigeria. Thematic analysis of the textual data and synthesis produced 5 conceptual categories for 14 identifiable themes from the study. The conceptual categories were (a) adoption of technology, (b) culture, (c) organizational performance, (d) innovative technology, and (e) interorganizational collaborations. The findings from this study may serve as a catalyst for positive social change by challenging existing technology-avoidance behavior in the Nigerian construction industry, and opening new opportunities for improved project delivery in the Nigerian national economy.

Battery Electric Vehicle as an environmental friendly transportation alternative has already emerged as well as fade out of the market twice. It has been reintroduced along with the increasing concern about the environment issue. This recent diffusion is surrounded by lots of dynamic changes and uncertainties. However, most current studies focus on political, financial as well as infrastructure factors but neglect factors like the technology especially how people perceived it. Therefore, this study mainly research into how the technology development impact on the diffusion of battery electric vehicle.To achieve this aim, a model based study was conducted targeting Swedish electric vehicle market. In the research, customers are considered to be the target objective because they are the one  who perceive the technology and make decision for adoption directly. In order to know the relationship between them, researches have been conducted through qualitative and quantitative approach. Empirical work including interviews and survey were conducted through tripartite aspect to investigate the customer needs and related technology. The investigation indicates the environmentally friendly performance is the key driving force perceived by the early adopters. Meanwhile, range issue, total cost of ownership and safety & technology reliability are identified as the top three critical concerns that  hold back customer purchasing decision. A modified classic model for the innovation diffusion has been proposed which is used to evaluate the technology’s perception based on historical data. Two BEV- related technologies were chosen as examples to prove and illustrate the relationship between technology development and electric vehicle diffusion.The results showed that the BEV-related technologies, which have potential ability to address critical customer demand, are able to impact on the customer adoption positively through valid perception by customer. Taking technology development and perception into consideration, the diffusion process should be accelerated to some extent. Technologies which can be more easily perceived tend to have more impact in the diffusion process. / Batteridrivna elektriska fordon(BEV) som ett miljövänligt transportalternativ redan har dykt upp, liksom försvunnit från marknaden två gånger. Det har återinförts tillsammans med den ökande oron för miljöfrågan. Denna nya diffusion är omgiven av dynamiska förändringar och osäkerheter. Men de flesta av dagens studier fokuserar på politiska, ekonomiska och infrastrukturella faktorer, men försummar faktorer relaterat till tekniken framför allt hur människor uppfattar det. Därför undersökte denna studie främst hur den tekniska utvecklingen påverkar spridningen av batteridrivna fordon.För att uppnå detta syfte, gjordes en modell baserad kring en studie av den svenska elbilsmarknaden. I forskningen anses kunderna vara målet målgruppen eftersom de är de som uppfattar tekniken och tar beslut om införandet direkt. För att veta förhållandet mellan dem, har kvalitativa och kvantitativa undersökningar genomförts. Empiriskt arbete inklusive intervjuer och undersökningen genomfördes genom tre olika aspekter för att undersöka kundernas behov och relaterad teknik. Undersökningen visar att miljövänlig prestanda är den viktigaste drivkraften som uppfattas av early adopters. Samtidigt har räckviddsproblematiken, totala ägandekostnaden och tillförlitlighet i säkerhet och teknologi identifierats som de tre kritiska problemen som tillbakahåller kunden från ett köpbeslut. En modifierad klassisk modell för innovationsspridning har föreslagits som används för att utvärdera teknikens uppfattning baserad på historiska data. Två BEV-relaterade teknologier valdes som exempel för att bevisa och illustrera förhållandet mellan teknikutveckling och elbilsdiffusion.Resultaten visade att BEV-relaterad teknologi, som har potential förmåga att ta itu med den kritiska efterfrågan från kunderna, kan påverka kundacceptans positivt genom giltig uppfattning av kunden. Om teknikutveckling och uppfattning beaktas, bör diffusionsprocessen påskyndas i viss utsträckning. Teknik som lättare kan uppfattas tenderar att ha mer genomslag i diffusionsprocessen.

I denna uppsats diskuteras hur relationsmarknadsföring kan användas av företag som utvecklar högteknologiska SaaS-lösningar för att bygga lönsamma relationer på en tidig marknad. För att svara på frågeställningen “Hur kan högteknologiska SaaS-leverantörer arbeta med relationsmarknadsföring för att attrahera kundgrupperna Innovators och Early adopters på den tidiga marknaden utifrån The Technology Adoption Life Cycle?” har en kvalitativ metod i form av en fallstudie använts. Semistrukturerade intervjuer med respondenter från en SaaS-leverantör och deras kunder nyttjas för insamling av empirin. Detta för att öka förståelsen för vad både leverantörer av SaaS och deras kunder värdesätter i en relation. Urvalet av teori bygger på hur segmenteringsverktyget The Technology Adoption Life Cycle och teorier kring relationsmarknadsföring kan kombineras för att öka förståelsen för hur olika kundrelationer kräver olika tillvägagångssätt på den tidiga marknaden. Genom analyser av den insamlade empirin har författarna av denna uppsats dragit slutsatsen att relationsmarknadsföring är ett brett område. Utöver produkten behöver SaaS-leverantörer fokusera på andra nyckelfaktorer där personal, teknologi, tid och kunskap ingår. Det är dessutom avgörande att SaaS-leverantörer lägger stor vikt på den interna marknadsföringen eftersom alla interaktioner och beröringspunkter med kunden påverkar relationen. Tillit till det andra företaget och engagemang i relationen är ytterligare aspekter som ligger till grund för att bygga långvariga relationer. Dessa relationer är avgörande för att SaaS-lösningen ska kunna nå den huvudsakliga marknaden där kapitalet finns och en prenumerationsmodell ger önskad avkastning.  Genom live-in marketing kan SaaS-leverantören ta del av viktiga insikter från sina kunder på den tidiga marknaden och möjliggöra en kundcentrerad utveckling av SaaS-lösningen. Undersökningen som denna uppsats bygger på har däremot visat att ett fokus på spridning genom word of mouth inte nödvändigtvis leder till ökad exponering och försäljning, samt att utträdesbarriärer inte är ett tillvägagångssätt för att skapa engagemang i relationen. / This undergraduate thesis explores the possibilities of high tech SaaS providers to apply relationship marketing in order to establish profitable relationships in the early market. A qualitative method in the form of a case study was used to answer the research question “How can high tech SaaS providers apply relationship marketing theory in order to attract customer groups in the early market based on The Technology Adoption Life Cycle?”. To collect the empirical material, semi-structured interviews were conducted with respondents from one SaaS provider and two of their customers. This was done to increase the knowledge on what SaaS providers and their customers value in a relationship. The segmentation tool The Technology Adoption Life Cycle and relationship marketing theory was applied to increase the understanding of how various customer groups require different approaches in the early market. Through analysis of the collected empirical material, the authors of this thesis have drawn the conclusion that relationship marketing is a broad field. Beside the product itself, SaaS providers need to focus on other key factors such as personnel, technology, time and knowledge. Since all interactions with the customer will affect the relationship, internal marketing should be of paramount importance to the SaaS provider. Trust between partners as well as commitment to the relationship play a vital part in the longevity of relationships in the early market. These relationships are crucial in order for a SaaS to reach the mainstream market where a subscription model can show true value for the SaaS-provider. SaaS providers can use live-in marketing to gain important insights from its customers in the early market and develop their SaaS with a customer centric approach. The research that has been conducted in this thesis has shown that focusing on diffusion through word of mouth does not necessarily result in increased exposure and sales, but also that costs of leaving a relationship does not increase the customers commitment to the relationship.

Syftet med denna studie är att undersöka faktorer som påverkar adoptionen av drönare för säkerhetsskäl på byggarbetsplatser, och att fastställa hur dessa faktorer påverkar adopteringen. Detta bidrar till att teknologiskt modernisera byggbranschen samt fylla en lucka i befintlig litteratur om adoptionen av drönare för säkerhetsskäl. För att undersöka detta genomfördes elva semistrukturerade intervjuer med personer som representerade åtta olika företag av varierande storlek, alla aktiva i byggindustrin. Resultaten indikerar att de primära faktorer som påverkar adopteringen är 1) Kännedom, 2) Organisation, 3) Arbetarna, 4) Genomförbarhet och 5) Extern miljö. Alla dessa faktorer kan påverka adoptionen såväl positivt som negativt. Hur dessa faktorer påverkar adoptionen av drönare har också modellerats i det framtagna ramverket Drone Adoption Model (DAM). Adoptionsprocessen inleds med att Intresset sprids inom företaget. När intresset är etablerat görs en Genomförbarhetsbedömning. Beroende på resultatet från genomförbarhetsbedömning pilottestas tekniken, vilket sedan lägger grunden för Diffusionen. De olika faktorerna påverkar adoptionen i olika faser. Kännedom påverkar primärt adoptionen i Intressefasen. Faktorerna genomförbarhet och organisation påverkar adoptionen primärt i genomförbarhetsbedömningen. Slutligen påverkar faktorerna Arbetarna och Extern miljö genom hela processen. / The aim of this study is to explore, understand and elucidate the factors that influence the adoption of drones for safety purposes on outdoor construction sites, as well as to determine how these factors influence adoption. This contributes to the role of modern technologies in the construction industry as well as fill a gap in existing literature of drone adoption for safety purposes. In order to investigate this, eleven semi-structured interviews were conducted with people representing eight different companies of varying size, all active in the construction industry. The results indicate that the major factors influencing adoption are: 1) Awareness, 2) Organization, 3) Workers, 4) Feasibility and 5) External environment. All these factors could influence the adoption both positively and negatively. How the factors influence the adoption has been modelled in the proposed framework Drone Adoption Model (DAM). The adoption process starts with Interest being spread throughout the firm. Once an interest is established, a Feasibility assessment is conducted. Depending on the result from the feasibility assessment, the technology is Pilot tested, which then lays the foundation for the Diffusion. The different factors influence adoption in different phases. Awareness primarily influence adoption in the Interest phase, whereas the factors Feasibility and Organization influence adoption mainly in the Feasibility assessment. Lastly, the two factors external environment and workers influence the adoption throughout the whole process.

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This dissertation investigates videoconference technology adoption by aging-in-place organizations to facilitate the social engagement of older adults. It comprises three studies that examine the initiation and coordination of technology adoption by aging-in-place organizations and addresses the factors associated with successful adoption of relational videoconference technology by older adults. The first study is a systematic literature review exploring the role of aging-in-place organizations in social engagement of older adults through videoconference technology. The second study is a survey of adult relatives and friends of older adults regarding videoconference technology adoption by older adults during the COVID-19 pandemic and their experience with facilitating resources. It applies technology adoption theory and a structural equation model to characterize the role of aging-in-place organizations. The third study is a pilot test of a new online platform called Circular that is designed to support social engagement of older adults. Through these studies, this research extends the existing body of knowledge regarding modes to facilitate adoption of relational technology by older adults and to empower senior centers and other aging-in-place organizations as they seek to socially engage the aging members of their communities.

In a supply chain, a warehouse is a crucial component for linking all chain parties. Automatic identification and data capture (auto-ID) technology, e.g. RFID and barcodes are among the essential technologies in the 21st century knowledge-based economy. Selecting an auto-ID technology is a long term investment and it contributes to improving operational efficiency, achieving cost savings and creating opportunities for higher revenues. The interest in auto-ID research for warehouse management is rather stagnant and relatively small in comparison to other research domains such as transport, logistics and supply chain. However, although there are some previous studies that explored factors for the auto-ID selection decision in a warehouse environment, those factors (e.g., operational factors) have been examined separately and researchers have paid no attention to all key factors that may potentially affect this decision. In fact, yet there is no comprehensive framework in the literature that comprehensively investigates the critical factors influencing the auto-ID selection decision and how the factors should be combined to produce a successful auto-ID selection process in warehouse management. Therefore, the main aim of this research is to investigate empirically the auto-ID technology-selection process and to determine the key factors that influence decision makers when selecting auto-ID technology in the warehouse environment. This research is preceded by a comprehensive and systematic review of the relevant literature to identify the set of factors that may affect the technology selection decision. The Technology-Organisation-Environment (TOE) framework has been used as lens to categorise the identified factors (Tornatzky & Fleischer, 1990). Data were collected by conducting first a modified (mixed-method) two-round Delphi study with a worldwide panel of experts (107) including academics, industry practitioners and consultants in auto-ID technologies. The results of the Delphi study were then verified via follow-up interviews, both face-to-face and telephone, carried out with 19 experts across the world. This research in nature is positivist, exploratory/descriptive, deductive/inductive and quantitative/qualitative. The quantitative data were analysed using the statistical package for social sciences, SPSS V.18, while the qualitative data of the Delphi study and the interviews were analysed manually using quantitative content analysis approach and thematic content analysis approach respectively. The findings of this research are reported on the motivations/reasons of warehouses in seeking to use auto-ID technologies, the challenges in making an auto-ID decision, the recommendations to address the challenges, the key steps that should be followed in making auto-ID selection decision, the key factors and their relative importance that influence auto-ID selection decision in a warehouse. The results of the Delphi study show that the six major factors affecting the auto-ID selection decision in warehouse management are: organisational, operational, structural, resources, external environmental and technological factors (in decreasing order of importance). In addition, 54 key sub-factors have been identified from the list of each of the major factors and ranked in decreasing order of the importance mean scores. However, the importance of these factors depends on the objectives and strategic motivations of warehouse; size of warehouse; type of business; nature of business environment; sectors; market types; products and countries. Based on the Delphi study and the interviews findings, a comprehensive multi-stage framework for auto-ID technology selection process has been developed. This research indicates that the selection process is complex and needs support and closer collaboration from all participants involved in the process such as the IT team, top management, warehouse manager, functional managers, experts, stockholders and vendors. Moreover, warehouse managers should have this process for collaboration before adopting the technology in order to reduce the high risks involved and achieve successful implementation. This research makes several contributions for both academic and practitioners with auto-ID selection in a warehouse environment. Academically, it provides a holistic multi-stage framework that explains the critical issues within the decision making process of auto-ID technology in warehouse management. Moreover, it contributes to the body of auto-ID and warehouse management literature by synthesising the literature on key dimensions of auto-ID (RFID/barcode) selection decision in the warehouse field. This research also provides a theoretical basis upon which future research on auto-ID selection and implementation can be built. Practically, the findings provide valuable insights for warehouse managers and executives associated with auto-ID selection and advance their understanding of the issues involved in the technology selection process that need to be considered.

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