Investigating mobile wireless technology adoption: An extension of the technology acceptance model

This research represents a theoretical extension of the Technology Acceptance Model (TAM), which IS researchers have used to explain technologies’ perceived usefulness and individuals intention to use it. The authors developed a model, referred to as the Mobile Wireless Technology Acceptance Model (MWTAM), to test the relationship between theoretical constructs spanning technological influence processes (Perceived Ubiquity, and Perceived Reachability) and cognitive influence processes (Job Relevance, Perceived Usefulness, and Perceived Ease of Use) and their impact on Behavioral Intention. MWTAM is assessed using data collected from an online survey and analyzed using AMOS 5.0. Results provide evidence to support MWTAM as both the technological and cognitive influence processes accounted for 58.7% of the variance explained in an individual’s Behavioral Intention toward using mobile wireless technology. Additionally, the path coefficients between constructs ranged from 0.241 to 0.572 providing further evidence to support the theoretical extension of TAM.

The use and acceptance of new media entertainment technology by elderly users: development of an expanded technology acceptance model

Research on elderly people's ICT acceptance and use often relies on the technology acceptance model (TAM) framework, but has been mostly limited to task-oriented uses. This article expands approaches in technology acceptance and use by developing a model to explain entertainment-related uses of new media technology by elderly people. On a theoretical level, we expand the TAM perspective by adding concepts that act as barriers and/or facilitators of technology acceptance, namely technophobia, self-efficacy and previous experience and expertise with technology. We develop an expanded TAM by testing the role of these concepts in two studies on entertainment media technology. In Study 1, we investigate behavioural intention to use 3D cinema among N?=?125 German elderly media users (Age 50+). In Study 2, we focus the actual use of a computer game simulation by N?=?115 German and US elderly media users (Age 50+). Findings in both studies point towards the central role of perceived usefulness, here modelled as enjoyment, as the reason for elderly people's use and acceptance of entertainment media technology. Perceived ease of use is seen as a precondition for enjoyment, particularly for interactive media.     

A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects

We conducted a quantitative meta-analysis of previous research on the technology acceptance model (TAM) in an attempt to make well-grounded statements on the role of subjective norm. Furthermore, we compared TAM results by taking into account moderating effects of one individual-related factor (type of respondents), one technology-related factor (type of technology), and one contingent factor (culture). Results indicated a significant influence of subjective norm on perceived usefulness and behavioral intention to use. Moderating effects were found for all three factors. The findings yielded managerial implications for both intra-company and market-based settings.     

Investigating the role of identity and gender in technology mediated learning

Instructors and trainers are increasingly using online education and technology-mediated learning (TML) to supplement or replace traditional approaches to classroom teaching. Because mandatory involvement requirements may not intrinsically motivate learners to achieve high quality learning, social factors with commitment, such as identification among group members, are especially important determinants of TML success. This article investigates an individual's social and self identities as important determinants in developing affective commitment (identification) and intrinsic motivation (perceived enjoyment) to share knowledge by email in the TML environment. Furthermore, given the recent emphasis on gender in system adoption and socio-linguistic literature, this study investigates gender as a moderating variable in the proposed model. An empirical test of the proposed model was conducted in the pilot test (n = 155) as well as the main test (n = 411). Social and self identities influence identification (R ² = 0.42) and perceived enjoyment (R ² = 0.52) of sharing knowledge by email. As expected, there are significant moderating effects of gender in these relationships in that male shows stronger effects of self identity while female shows stronger effects of social identity. The results of this study will help us understand the antecedents of effective knowledge sharing intervention in the TML environment, based on the integrated model of social identity theory, social influence theory, self determination theory and socio-linguistic literature.     

The role of moderating factors in user technology acceptance

Along with increasing investments in new technologies, user technology acceptance becomes a frequently studied topic in the information systems discipline. The last two decades have seen user acceptance models being proposed, tested, refined, extended and unified. These models have contributed to our understanding of user technology acceptance factors and their relationships. Yet they have also presented two limitations: the relatively low explanatory power and inconsistent influences of the factors across studies. Several researchers have recently started to examine the potential moderating effects that may overcome these limitations. However, studies in this direction are far from being conclusive. This study attempts to provide a systematic analysis of the explanatory and situational limitations of existing technology acceptance studies. Ten moderating factors are identified and categorized into three groups: organizational factors, technological factors and individual factors. An integrative model is subsequently established, followed by corresponding propositions pertaining to the moderating factors.     

Investigating enterprise systems adoption: uncertainty avoidance,intrinsic motivation,and the technology acceptance model

Enterprise systems are gaining interest from both practitioners and researchers because of their potential linkages to organizational and individual user's productivity. Information systems (IS) researchers have been investigating the implementation and adoption issues of enterprise systems based on the organizational IS management perspectives. However, there are few papers that investigate enterprise systems management and implementation issues based on the informal control mechanisms, although the enterprise systems are control tools in the organization. Specifically, this paper applies Enterprise Resource Planning (ERP) adoption and implementation to the informal controls, such as cultural control and self-control, which can be viewed as a tacit perspective in knowledge management. Uncertainty avoidance and perceived enjoyment are used as informal controls in the ERP implementation in this paper, and are linked to the technology acceptance variables to investigate the relationships among them. Sociotechnical design, organizational control mechanism, knowledge management, and individual motivation are reviewed to support this potential linkage in the model. Field data via the online survey of ERP systems user group (n=101) are analyzed with partial least squares and supported our hypotheses. Uncertainty avoidance cultural control and intrinsic motivation as self-control are the important antecedents of ERP systems adoption. Furthermore, the result helps the systems manager understand that informal controls should be applied to the ERP systems implementation to enhance tacit and social aspects of IS management.     

Using structural technology acceptance models to segment intended users of a new technology: Propositions and an empirical illustration

This article aims to offer an alternative method to analyse technology acceptance models, namely a segment‐wise analysis. The empirical illustration of this method involves data that were collected during a company‐wide implementation of a Sales Force Automation technology in Europe. The data comprise a variety of commonly used technology‐related, context‐related, and person‐related variables. The segmentation procedure, which involved a finite mixture partial least squares estimation, provides more insight into the different ways in which people come to accept new technologies. Unlike other segmentation studies published in IS journals, the resulting segments are based on similarities and differences in the structure of the underlying theoretical models rather than (a collection of) individual variables. Further research or a re‐analysis of existing data should help establish robust “technology acceptance model”‐based segments as well as comprehensive profiles of the individuals in each segment.     

Investigating attributes affecting the performance of WBI users

Numerous research studies have explored the effect of hypermedia on learners' performance using Web Based Instruction (WBI). A learner's performance is determined by their varying skills and abilities as well as various differences such as gender, cognitive style and prior knowledge. In this paper, we investigate how differences between individuals influenced learner's performance using a hypermedia system to accommodate an individual's preferences. The effect of learning performance is investigated to explore relationships between measurement attributes including gain scores (post-test minus pre-test), number of pages visited in a WBI program, and time spent on such pages. A data mining approach was used to analyze the results by comparing two clustering algorithms (K-Means and Hierarchical) with two different numbers of clusters. Individual differences had a significant impact on learner behavior in our WBI program. Additionally, we found that the relationship between attributes that measure performance played an influential role in exploring performance level; the relationship between such attributes induced rules in measuring level of a learners' performance.     

The role of exogenous factors in technology acceptance: The case of object-oriented technology

In spite of many theoretical models, the role of exogenous factors in accepting object-oriented technology has not been satisfactorily demonstrated. By comparing two competing models, our study examined the role and location of exogenous variables in explaining user acceptance of object-oriented technology. Based on the results, we developed a new model that combined the key ideas of both TAM and TPB and showed that both models are necessary in understanding the unique role of each exogenous variable.     

A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types

Existing literature in the field of e-learning technology acceptance reflects a significant number of independent studies that primarily investigate the causal relationships proposed by technology acceptance theory, such as the technology acceptance model (TAM). To synthesize the existing knowledge in the field of e-learning technology acceptance, we have conducted a systematic literature review of 42 independent papers, mostly published in major journals. Furthermore, in order to view the research context by combining and analyzing the quantitative results of the reviewed research studies, a meta-analysis of the causal effect sizes between common TAM-related relationships was conducted. The main findings of this study, which is the first of its kind, are: (1) TAM is the most-used acceptance theory in e-learning acceptance research, and (2) the size of the causal effects between individual TAM-related factors depends on the type of user and the type of e-learning technology. The results of the meta-analysis demonstrated a moderating effect for user-related factors and technology-related factors for several evaluated causal paths. We have gathered proof that the perceived ease of use and the perceived usefulness tend to be the factors that can influence the attitudes of users toward using an e-learning technology in equal measure for different user types and types of e-learning technology settings.     

Enriching our theoretical repertoire: the role of evolutionary psychology in technology acceptance

Information systems (IS) research has drawn heavily on social and cognitive psychology to explain technology adoption. Indeed, the many variations of the technology acceptance model all share these same theoretical foundations. Focusing exclusively on the socio-cognitive lens can lead to overlooking enhanced explanations of technology acceptance, such that new theoretical perspectives may be warranted. In this qualitative grounded theory study, we discovered how the lens of evolutionary psychology, as embodied in the Four-Drive model, was helpful in understanding technology acceptance across three organizational sites. We contend that evolutionary psychology is an important addition to the theoretical repertoire of IS researchers, and propose including ‘evolved psychological mechanisms’ within traditional models of technology acceptance.     

How different types of users develop trust in technology: A qualitative analysis of the antecedents of active and passive user trust in a shared technology

The aim of this study was to investigate the antecedents of trust in technology for active users and passive users working with a shared technology. According to the prominence-interpretation theory, to assess the trustworthiness of a technology, a person must first perceive and evaluate elements of the system that includes the technology. An experimental study was conducted with 54 participants who worked in two-person teams in a multi-task environment with a shared technology. Trust in technology was measured using a trust in technology questionnaire and antecedents of trust were elicited using an open-ended question. A list of antecedents of trust in technology was derived using qualitative analysis techniques. The following categories emerged from the antecedent: technology factors, user factors, and task factors. Similarities and differences between active users and passive user responses, in terms of trust in technology were discussed.     

The role of utilitarianism,self-safety,and technology in the acceptance of self-driving cars

Cognition, Technology & Work - Self-driving vehicles are currently being developed in major industries for mass public deployment. Their benefits are attractive, and there is interest in having...     

Collaborative e-product development and product innovation in a demand-driven network: the moderating role of eCRM

Customer relationships, product development, data integration and demand-driven supply chains are key concepts for companies that wish to remain competitive in today’s global economy. To address this important information management issue, the present study examines how, within a demand-driven network context, an eCRM can influence the interorganizational product development process between a manufacturer and its key customers. The theoretical model, built on research related to a technology assimilation model based on Fichman’s (2000) work, was tested on data from 104 manufacturers in the wireless equipment sector. The results show that the adoption of an eCRM does not moderate the relationship between collaborative e-product development involving a manufacturer and its key customers and product innovation within the manufacturer itself. Moderated regression analyses also demonstrate that, among the manufacturers that have adopted an eCRM, the impact of collaborative e-product development by the manufacturer and its key customers on product innovation within the company will be stronger when investments in the eCRM implementation, internal integration of the eCRM, and eCRM usage are higher than lower. Finally, the findings show that investments in the eCRM implementation, internal integration of eCRM and eCRM usage are also antecedents of product innovation within the manufacturer. This contribution, at the intersection of the CRM and product development research streams, should give academics and practitioners alike a better understanding of the role of eCRMs in the product development process.     

An empirical analysis of the antecedents of e-satisfaction and e-loyalty: focusing on the role of flow and its antecedents

Many previous studies have identified that flow is a constructive construct for explaining consumer behaviors in the context of computer-mediated environments. Success in websites is dependent on their ability to create opportunities for consumers to experience flow. However, relatively little research has been conducted to understand how that flow forms (i.e., antecedents of flow) and impacts subsequently (i.e., consequences of flow). Thus, this research contributes in integrating the technology acceptance model (TAM), flow theory, and regulatory fit theory to investigate the unique role of flow for understanding the antecedents and consequences of flow. The results showed that perceived ease of use, perceived usefulness and regulatory fit exhibited significant positive effects on flow, and additionally the results indicated that regulatory fit has the strongest effect on flow. The results also confirmed that flow, perceived ease of use and perceived usefulness significantly affect e-satisfaction, which in turn affects e-loyalty, and additionally the results indicated that flow is the strongest determinant of e-loyalty. Important implications of these findings are discussed and directions for future research are also provided.     

A meta-analysis of the technology acceptance model

A statistical meta-analysis of the technology acceptance model (TAM) as applied in various fields was conducted using 88 published studies that provided sufficient data to be credible. The results show TAM to be a valid and robust model that has been widely used, but which potentially has wider applicability. A moderator analysis involving user types and usage types was performed to investigate conditions under which TAM may have different effects. The study confirmed the value of using students as surrogates for professionals in some TAM studies, and perhaps more generally. It also revealed the power of meta-analysis as a rigorous alternative to qualitative and narrative literature review methods.     

Charismatic leadership and user acceptance of information technology

Although there is widespread agreement that leadership has important effects on information technology (IT) acceptance and use, relatively little empirical research to date has explored this phenomenon in detail. This paper integrates the unified theory of acceptance and use of technology (UTAUT) with charismatic leadership theory, and examines the role of project champions influencing user adoption. PLS analysis of survey data collected from 209 employees in seven organizations that had engaged in a large-scale IT implementation revealed that project champion charisma was positively associated with increased performance expectancy, effort expectancy, social influence and facilitating condition perceptions of users. Theoretical and managerial implications are discussed, and suggestions for future research in this area are provided.     

The role of goal awareness and information technology self-efficacy on job satisfaction of healthcare system users

This paper investigates the influence of goal awareness and IT self-efficacy on job satisfaction based on the motivation sequence model, goal-setting theory, and social cognitive theory. Using a large-scale field survey of healthcare enterprise resource planning (ERP) system users (n?=?352), this study investigates these relationships and provides important insight to healthcare ERP system researchers and managers. Both goal awareness and IT self-efficacy influence positive job satisfaction of healthcare ERP system users, as expected. Furthermore, the influence of goal awareness is stronger when the role of ERP systems is highly perceived for decision-making of the job. There was no interaction effect between goal awareness and IT self-efficacy in the post hoc analysis. The model is significantly supported by the empirical test with the large number of field data from healthcare ERP system users in the healthcare company. Practical and academic implications are discussed in the paper.     

Investigating the penalty reward calculus of software users and its impact on requirements prioritization

ContextThe current requirements engineering techniques for prioritization of software requirements implicitly assume that each user requirement will have an independent and symmetric impact on user satisfaction. For example, it is assumed that implementing a high priority user requirement will positively impact his satisfaction and not implementing a high priority user requirement will negatively impact his satisfaction. Further, the impacts of implementing multiple user requirements on his satisfaction are expected to be additive. But is this always the case?ObjectiveThis paper empirically examines whether the assumptions of symmetric and multiplicative impacts of user requirements on his satisfaction are valid. Further, the study assesses the relative efficacy of 5 methods of requirements prioritization in managing these effects as reflected by the user satisfaction with the prioritized requirement sets.MethodTo test for existence and mitigation of asymmetric effects an adaptation of the widely accepted PRCA (Penalty Reward Contrast Analysis) method was used for 5 requirements prioritization techniques. To test for existence and mitigation of multiplicative effects MHMR (Moderated Hierarchical Multiple Regression) a well-accepted technique for testing interaction effects was used.ResultsBoth asymmetric and multiplicative effects of software requirements on user satisfaction were observed for requirements prioritized using all 5 requirements prioritization methods raising questions about the efficacy of present day requirements prioritization techniques. Further, the results of the experiment led to proposing a new method for requirements prioritization for managing these effects.ConclusionThe study empirically demonstrates the complexities of prioritizing software requirements and calls for a new generation of methods to address them. Understanding and resolving these complexities will enable software providers to conserve resources by enabling them to parsimoniously selecting only those requirements for implementation in the software product that have maximum incremental impact on user satisfaction.