9,093 research outputs found

    Understanding the influence of Internet of things (IoT) on individual performance

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    Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceNowadays a significant part of the objects (things) surrounding us have embedded technology like sensors, wireless, communication, and data analysis capabilities. Everyday digital artifacts lead us to information based on artifacts known as the Internet of things (IoT). The growing interest in these digital everyday artifacts from end-users, and their impact on use and individual performance were the catalyst for this research. This study aims to understand the perceived value influencing the use of IoT on individuals' performance. We suggest combining the task-technology fit (TTF) and the value-based adoption model (VAM) to evaluate the effect of IoT on individual performance. In this study we will implement an online questionnaire, which will be addressed to an IoT user’s audience. To test the model we used 303 valid responses. Findings suggest that TTF, use, user satisfaction, and perceived usefulness are important drivers to explain IoT individuals’ performance. Moreover, our results reveals that age moderates the relationship between perceived benefits and individual performance. Understanding the implication of IoT on individual performance will foment new insights and advantages for IoT managers and attract potential users

    Drivers and Inhibitors to eCommerce Adoption: Exploring the Rationality of Consumer Behavior in the Electronic Marketplace

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    This research reports on the findings of a mail consumer survey conducted in Finland to (i) build an understanding of the rationales for adopting or rejecting the Internet and ecommerce by consumers, and to (ii) explore the relationship between e-commerce adoption decisions and perceived channel value, seen as the balance of power between the overall benefits that are likely to accrue by using the Internet, and the overall barriers encountered to using it or to deriving the sought benefits. Identifying the primary drivers and inhibitors to Internet and e-commerce adoption, and showing that e-commerce adoption/rejection is based on rational consumer behavior when seen from the proposed value perspective, the study contributes to and extends our understanding of the Internet as a medium for commercial use in the B2C arena

    Why People Participate in the Sharing Economy: An Empirical Investigation of Uber

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    Purpose - This study aimed at examining the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy. Design/methodology/approach - A self-reported online survey was conducted among Uber users in Hong Kong. A total of 295 valid responses were collected. The research model was empirically tested using the structural equation modeling (SEM) technique. Findings - The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users’ intention to participate in Uber. Research implications - This study bridged the research gaps in the sharing economy literature by examining the effects of perceived risks, perceived benefits, and trust in the platform on users’ intention to participate in the sharing economy. Moreover, this study enriched the extended valence framework by incorporating perceived platform qualities into the research model, responding to the calls for the inclusion of technological variables in information systems research. Practical implications - The findings provided practitioners with insights into enhancing users’ intention to participate in the sharing economy. Originality/value - This study presented one of the first attempts to systematically examine the effects of inhibiting, motivating and technological factors on users’ intention to participate in the sharing economy

    Unobserved Heterogeneity: Evidence and Implications for SMEs' Hedging Behavior

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    Financial research indicates that several firm characteristics are related to the use of derivatives. Less attention has been paid to the role of the characteristics of managers, which are particularly important when studying derivative usage of small and medium sized enterprises (SMEs). In this paper we focus on the influence of manager's level of education, the manager's decision-making unit, and the fundamental determinants of risk management - managerial risk attitude and managerial risk perception - on SMEs' commodity derivative usage. In empirical studies to date, the heterogeneity of derivative users has been neglected. We propose a generalized mixture regression model that estimates the relationship between commodity derivative usage and a set of explanatory variables across segments of an industry. Accounting for unobserved heterogeneity reveals that segments of the industry have different determinants of derivative use. Moreover, the heterogeneity at the segment level appears to mask significant effects at the aggregate level, most notably the effects of risk attitude and risk perception.Marketing,

    MAXIMIZING TECHNOLOGY ACCEPTANCE MODEL (TAM) IN ASSESSING THE USE OF ICT TO PROMOTE DISTANCE EDUCATION IN PUBLIC UNIVERSITIES IN THE ASHANTI REGION, GHANA

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    The study investigated maximizing Technology Acceptance Model in accessing the attitude of rural farmers using ICT tools in farming to enhance productivity. Using a positivist philosophical perspective, this study adopted the survey research design to respectively 210 registered level 300 distance education students of both universities pursuing Business Administration from the Kwame Nkrumah University of Science and Technology (KNUST) and the Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED). The study employed questionnaires as a data collection tool. Findings revealed that ICTs were useful for both institutions giving them some sort of autonomy for students in their education, inducing presentation, demonstration, interaction, and collaboration. Some of the challenges the distance students faced were the limited ICT facilities and services, and technical hitches, among others. The study recommended that these universities should invest in contemporary ICT infrastructure to aid the new generation of distance students

    Understanding the Adoption of Mobile Data Services: A Value Perspective

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    Mobile data services (MDS) are wireless value-added pay-per-use services that have attracted increased attention in recent years. In the marketing and information system (IS) disciples, the ability of a service provider to offer a high level of value to its customers is regarded as a success. In this paper, a theoretical framework is proposed to investigate key drivers in wireless pay-per-use services behavior based on a value perspective. This study examines the role of three evaluation values, derived from marketing and IS literature, in adoption decisions. Potential adopters have no experience with MDS; thus, they likely conceive value based primarily on indirect experience with it, such as through advertisements or communication with peers. Most studies of MDS, however, have given little attention to the types of information sources that affect the formation of value that is obtained using MDS. In this study, the influence of members of social networks and secondary sources are regarded as the major sources of information. The proposed model is empirically tested using survey data collected from 287 potential adopters. The analysis results show that the proposed model, based on the aforementioned view of value, provides a significant explanation of the variance in the level of adoption intention toward MDS in individuals. The results of this study show that utilitarian and social values dominate adoption decisions while the impact of hedonic value in MDS acceptance is weaker than other values. Information from relevant others and from mass media play a critical role in forming the perceptions of value obtained from the use of MDS

    Technology Desirability

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    Continuous-use, a key post-adoption behavior, has been typically explored based on adoption theories, portraying individuals as rational actors whose decisions are driven by intentions. Yet, continuous-use may not always be shaped by conscious rationality as emotions have been suggested to directly influence post-adoption and to overcome the formation of conscious intentions. The present paper takes a non-rational view of continuous-use and examines how it can be shaped by emotional involvement and value commitment. Building on previous work in Psychology, Marketing and Economic psychology, the present paper introduces the concept of IT Desirability, and argues for its central role, along with IT Loyalty, in explaining and predicting continuous-use. IT Desirability reflects the passionate relationship individuals experience with IT and is hypothesized to significantly influence their future IT-related decisions. The non-rational perspective suggested here complements existing rational models and provides a new lens for exploring individual mental processes capable of shaping continuous-use

    Habit Formation in Online Communities

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    A long standing dilemma of online communities is that a small group of community members account for a disproportionate amount of contributions. Prior studies built on intent-based explanations cannot fully explain the phenomenon. This paper introduces the concept of habit formation as a key driver of individual contributions and investigates how habit is formed and how it influences individuals’ participation behavior in online communities. We propose that a threshold of behavioral repetitions exists for individuals to develop a habit. Once the threshold is surpassed, the habit of participation grows stronger and becomes self-reinforcing. We also propose that habit formation weakens the influence of reciprocity, social capital and competition on user participation in virtual communities. Using a panel data of 130,882 postings across 115 discussion boards, we find support for all the hypotheses. Our analysis contributes to the emerging literature on routinized information technology use
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