Innovation characteristics and intention to adopt sustainable facilities management practices

Sustainable facilities management (SFM) is important because typical buildings consume more resources and energy than necessary, negatively impact the environment and generate lots of waste (US Department of Energy, 2003, Green Buildings). This study examined innovation characteristics that relate to facility managers' intention to adopt SFM practices. Based on the diffusion of innovations theory (Rogers 1962, 1995, Diffusion of Innovations. 4th ed. New York: The Free Press), an SFM innovation and adoption model was proposed. A survey was conducted with a convenience sample of 240 public facilities managers in 25 facilities management divisions in Seoul, Korea, and its metropolitan areas. Structural equation modelling was employed to analyse the data. The results showed that economic advantage and human comfort aspects are predictors for the intention of SFM adoption. Observability is positively relevant to the intention of SFM adoption. Complexity, however, is not a significant predictor for the intention of SFM adoption. Practical implications for sustainable products and systems and the built environment are suggested.

Practitioner summary: To incorporate an innovation like sustainable practices, it is required to meet the needs of potential adopters. Innovation characteristics that influence facility managers' intention to adopt sustainable facilities management were examined. A survey was conducted. Economic advantage, human comfort and observability are predictors for the intention of adoption of sustainable practice.     

The contingent role of dependency in predicting the intention to adopt B2B e-commerce

ABSTRACT

A review of existing Electronic Commerce adoption literature reveals that the prevailing theoretical frameworks implicitly assume that organizations are independent and have complete control over their decisions to adopt innovations. Given the fact that organizations are often constrained by and depend on their environment and exchange partners to survive, this paper proposes that Resource Dependency can either be a facilitator or inhibitor of the role of Technological, Organizational, and Environmental (TOE) motivating factors. Using 239 valid responses from supply chain managers in Jordan, the study found partial support for the role of Resource Dependency as a moderator. The findings provide insights on how Resource Dependency between partners drives different patterns of innovation acceptance among potential adopters, regardless of several technological and organizational motivations to innovate. The results suggest that predicting how innovation is diffused within a market needs a detailed understanding of the inter-dependence structure among the supply chain members.     

Information technology diffusion: building positive barriers

This paper demonstrates how to build positive barriers to the diffusion of an information technology innovation. Positive barriers are desirable elements that disable the diffusion of an innovation to an undesired set of potential adopters. System developers are motivated in many ways to construct such positive barriers, for example, by security and privacy of proprietary innovations. This paper draws on the broad research that has illuminated the enabling factors in the diffusion of information technology, and shows how selected examples of these factors can also be applied in usefully constructing barriers against diffusion.     

Teacher adoption of technology

Technology adoption is usually modeled as a process with dynamic transitions between costs and benefits. Nevertheless, school teachers do not generally make effective use of technology in their teaching. This article describes a study designed to exhibit the interplay between two variables: the type of technology, in terms of its complexity of use, and the type of teacher, in terms of attitude towards innovation. The results from this study include: (a) elaboration of a characteristic teacher technology adoption process, based on an existing learning curve for new technology proposed for software development; and (b) presentation of exit points during the technology adoption process. This paper concludes that teachers who are early technology adopters and commit a significant portion of their time to incorporating educational technology into their teaching are more likely to adopt new technology, regardless of its complexity. However, teachers who are not early technology adopters and commit a small portion of their time to integrating educational technology are less likely to adopt new technology and are prone to abandoning the adoption at identified points in the process.     

The role of industry infrastructure in telehealth innovations: a multi-level analysis of a telestroke program

The information-intensive nature of the healthcare industry and the potential of information technology (IT) to reduce costs and improve quality of services have increased the focus on IT-based innovations. Yet, our ability to understand and manage how IT-based innovations unfold in the context of healthcare is still limited. In this paper, we apply Van de Ven's industry infrastructure framework to investigate a telehealth innovation that provides remote medical assistance to stroke patients in a network of collaborating hospitals. The resulting multi-level analysis contributes to understanding the innovation by revealing a highly complex process of interactions between key stakeholders and healthcare industry infrastructure. Despite the innovation's strong potential, the process is mainly push-driven with minimal pull from potential adopters. Moreover, the push is created by a small group of medical innovators with limited technological and financial resources and little infrastructural support. The study contributes with contextual insights into the telehealth innovation, suggesting complementary explanations of why the healthcare industry despite considerable investments continues to lag behind other industries in adoption of IT-based innovations. The study also adapts Van de Ven's framework by applying it to a single case of innovation rather than as originally conceived to several instances of an innovation within an industry. The analysis shows how some of the components of the framework were adapted to and interpreted in the context of telehealth innovations.     

Information technology innovation diffusion: an information requirements paradigm

Abstract.  Information technology (IT) innovation research examines the organizational and technological factors that determine IT adoption and diffusion, including firm size and scope, technological competency and expected benefits. We extend the literature by focusing on information requirements as a driver of IT innovation adoption and diffusion. Our framework of IT innovation diffusion incorporates three industry-level sources of information requirements: process complexity, clock speed and supply chain complexity. We apply the framework to US manufacturing industries using aggregate data of internet-based innovations and qualitative analysis of two industries: wood products and beverage manufacturing. Results show systematic patterns supporting the basic thesis of the information processing paradigm: higher IT innovation diffusion in industries with higher information processing requirements; the salience of downstream industry structure in the adoption of interorganizational systems; and the role of the location of information intensity in the supply chain in determining IT adoption and diffusion. Our study provides a new explanation for why certain industries were early and deep adopters of internet-based innovations while others were not: variation in information processing requirements.     

The Diffusion of a Task Recommendation System to Facilitate Contributions to an Online Community

This paper studies the diffusion of SuggestBot, an intelligent task recommendation system that helps people find articles to edit in Wikipedia. We investigate factors that predict who adopts SuggestBot and its impact on adopters' future contributions to this online community. Analyzing records of participants' activities in Wikipedia, we found that both individual characteristics and social ties influence adoption. Specially, we found that highly involved contributors were more likely to adopt SuggestBot; interpersonal exposure to innovation, cohesion, and tie homophily all substantially increased the likelihood of adoption. However, connections to prominent, high‐status contributors did not influence adoption. Finally, although the SuggestBot innovation saw limited distribution, adopters made significantly more contributions to Wikipedia after adoption than nonadopter counterparts in the comparison group.     

Early vs. late adoption of radical information technology innovations across software development organizations: an extension of the disruptive information technology innovation model

This paper extends the disruptive information technology innovation model (DITIM) by exploring the impact of adoption timing on innovation outcomes within software development organizations during a disruptive innovation cycle. The DITIM suggests that radical changes in computing platforms result in pervasive and radical innovations in software development organizations across three innovation types: base technologies adopted, services produced and processes adopted. Upstream attributes (amount and radicalness) of the base innovations impact effects in‐kind downstream (a.k.a., strong order effects) on services and processes. Extending these tenets of the DITIM, we posit that during disruptive information technology (IT) innovation, the temporal stage of innovation activity (early vs. late) by software development organizations will significantly impact four innovation characteristics: (1) adoption rate of radical IT innovations, (2) strong order effects on downstream innovations related to the amount of innovation, (3) perceived radicalness of innovations and (4) strong order effects on downstream innovations related to the amount of perceived radicalness of innovation. We examine these impacts by reanalysing a cross‐sectional study of 121 software development organizations that adopted internet computing as reported in the original data analysis of the DITIM. By splitting the data into early and late adopter groups, our moderation analysis shows significant differences between early and late adopting groups in each of the four hypothesized impacts. Specifically, the adoption rate of radical IT innovations, strong order effects on the amount of innovation, perceived radicalness of innovations and strong order effects on perceived radicalness were each found to differ between early and late adopters. However, it is also important to consider innovation type as three significant effects were in the opposite direction for process innovations. These findings suggest that IT‐innovation scholars and practitioners should carefully consider innovation timing and type when studying or managing radical IT innovation.     

Searching for needles in a haystack: Identifying innovations to prevent MSDs in the construction sector

This study identified innovations that could potentially reduce the risk of MSDs in the construction sector. The action research approach was based on a collaborative model of researchers working with workplace representatives. We searched for innovations being used by construction companies. From a potential database of 125 innovations, the study focused on 20 innovations that varied in their penetration into worksites in the geographical area, represented a variety of trades, and were a cross-section of tools and work organizational processes. It examined the attributes of the innovations, and the barriers to their adoption. The analysis was based on observations of workers, surveys of workers and construction-safety consultants, and company interviews. The study found that innovations were adopted by companies for multiple advantages including productivity and quality, but not necessarily ability to reduce MSD risks, their non-complexity, and cost. The major barriers for adoption were the traditional culture of the construction sector rather than financial ones.     

Who will buy smart glasses? Empirical results of two pre-market-entry studies on the role of personality in individual awareness and intended adoption of Google Glass wearables

Recent market studies reveal that augmented reality (AR) devices, such as smart glasses, will substantially influence the media landscape. Yet, little is known about the intended adoption of smart glasses, particularly: Who are the early adopters of such wearables? We contribute to the growing body of research that investigates the role of personality in predicting media usage by analyzing smart glasses, such as Google Glass or Microsoft Hololens. First, we integrate AR devices into the current evolution of media and technologies. Then, we draw on the Big Five Model of human personality and present the results from two studies that investigate the direct and moderating effects of human personality on the awareness and innovation adoption of smart glasses. Our results show that open and emotionally stable consumers tend to be more aware of Google Glass. Consumers who perceive the potential for high functional benefits and social conformity of smart glasses are more likely to adopt such wearables. The strength of these effects is moderated by consumers’ individual personality, particularly by their levels of openness to experience, extraversion and neuroticism. This article concludes with a discussion of theoretical and managerial implications for research on technology adoption, and with suggestions for avenues for future research.     

Perceived critical mass and the adoption of a communication technology

Computer-based communication technologies are increasingly important to personal and organizational communication. One important factor related to the adoption and diffusion of communication innovations is critical mass. Critical mass influences the adoption and diffusion of interactive communication innovations, both through network externalities and through sustainability of the innovation. Unfortunately, critical mass is difficult to measure and is typically only demonstrable after the critical mass point has been reached. Potential adopters’ perceptions of critical mass also may be important to adoption decisions. In this paper, we extend this thinking using a synthesis of the Theory of Reasoned Action and Diffusion of Innovation theory by developing a research model. The model is empirically tested using survey data that are analyzed using partial least squares. The focal innovation is instant messaging. Results indicate that perceived critical mass influences use intentions directly and through perceptions of the characteristics of the innovation. The perceived innovation characteristics impact attitude toward use, which in turn impacts use intentions. The model predicts a sizable and significant portion of both attitudes and use intentions. Further, perceived critical mass is able to explain a significant portion of the variance in each perceived innovation characteristic. Implications for research and practice are discussed.     

The longitudinal impact of enterprise system users’ pre-adoption expectations and organizational support on post-adoption proficient usage

Although enterprise systems (ES) are ubiquitous, many firms report less than stellar payoffs from these costly investments, with underutilization often attributed to failures in the implementation process. Unfortunately, research has not provided sufficient insights into these failures, in part because it has focused on actual usage, as opposed to proficient usage, as the benchmark for successful implementation. Moreover, research has not generally examined how the adoption process unfolds over time, thus overlooking potential underlying mechanisms that may help explain how adopters achieve proficiency. To begin addressing these shortcomings, we study how adopters’ pre-adoption expectations, enacted over time, can influence their post-adoption proficiency, by shaping how and why they spend time using the system during the adoption period. We analyzed time-lagged survey data from 153 financial analysts, required to adopt new ES-based software, at a multinational bank. We found that adopters who hold pre-adoption expectations reflecting greater internal and external motives to adopt the system as well as systematically integrate it into their work routines are more apt to use the system in ways that enhance their cumulative knowledge of it, and subsequently develop higher levels of proficiency post-adoption. Moreover, greater organizational support enhanced the impact of adopters’ expectations on proficiency, except when their actual use is low in which case organizational support had an adverse effect.     

Adopting IS process innovations in organizations: the role of IS leaders’ individual factors and technology perceptions in decision making

While there is a rich body of literature on information system (IS) innovations, there is a limited understanding of the role IS leaders’ individual factors and their appraisals of technological factors play in organizations’ adoption of IS innovations. We address these gaps in the IS literature by focusing on an IS process innovation – namely, computer-aided software engineering (CASE) – which is targeted at the core activities of systems development/maintenance in IS departments. We specifically examine how organizations’ CASE adoption decision is impacted by (1) two individual factors of IS leaders (i.e., leaders’ hierarchical position and job tenure) and (2) their perceptions of technological factors (i.e., relative advantage and technological complexity of CASE). Data were gathered from IS leaders at 350 organizations in the United States using a national cross-sectional survey. The findings suggest that IS leaders’ hierarchical position and their job tenure significantly differentiate CASE adopters from non-adopters. IS leaders at lower levels of the organizational hierarchy and with shorter job tenure made the adoption decisions in adopter organizations, while IS leaders at higher levels of the organizational hierarchy and with longer job tenure made the adoption decisions in non-adopter organizations. The findings also reveal that relative advantage has two dimensions – namely, perceived efficacy advantage and perceived efficiency advantage – and IS leaders’ evaluation of the perceived efficacy advantage of CASE differentiates adopters from non-adopters. The study has important implications for our theoretical and practical understanding of the factors related to IS leaders that are influential in the organizational adoption of IS innovations.     

Adoption of Technology-Mediated Distance Education: A longitudinal analysis

We investigated the factors that facilitated the fast adoption and utilization of Technology-Mediated Distance Education (TMDE) among higher education institutions. Our analysis was based on a rich data set on the utilization of TMDE between the 1997–1998 and 2000–2001 academic years. The analysis showed that size, public/private status, and location significantly predicted its actual adoption. Being in an urban location negatively affected enrollment in the courses at the undergraduate but not at the graduate level. While the intent to adopt TMDE correlated significantly with actual adoption, many schools that were not interested in TMDE in 1997–1998 adopted it by 2000–2001. Interestingly, late adopters utilized certain technologies as frequently as early adopters, such as synchronous Internet-based instruction and the use of CD-ROMs.     

Musculoskeletal symptoms among commercial fishers in North Carolina

Musculoskeletal symptoms were reported by 215 fishermen followed at 6-month intervals over 18 months. Exposure information was collected through field observation and in-depth ethnographic interviews allowing potential ergonomic stressors to be identified and catalogued by task and stage of work. Symptoms causing work interference in the last 12 months were reported by 38.5% of the cohort at baseline. Low back symptoms were the most common cause of work impairment (17.7%), followed equally by pain in the hands or wrists and shoulders (7%). Symptoms in any body region were more likely to have been reported among individuals who did not fish full-time and those who worked other jobs part or all year had significantly lower symptom prevalence; both likely reflect a healthy worker effect. A number of ergonomic stressors were identified in all stages of fishing with exposure variability dictated by some unpredictable factors such as weather; but also by type of boat, gear, crew size, and level of experience. Reducing ergonomic exposures associated with work among these traditional workers is important, regardless of whether they directly cause or contribute to their musculoskeletal symptoms, or aggravate existing pathology.     

Adoption of software as a service in Indonesia: Examining the influence of organizational factors

In this study, we investigated the organizational factors that influenced Indonesian companies in their decision to adopt software as a service (SaaS). Based on a multiple-case study of 18 Indonesian companies, we identified three patterns: Top management support is an enabler for SaaS adoption; small to medium-sized enterprises (SMEs) are more likely to adopt SaaS than large companies; and organizational readiness is not an enabler for SaaS adoption. The last two patterns contradict existing information technology (IT) innovation adoption research. We explain this by examining the nature of SaaS as an IT innovation and the characteristics of Indonesia as a developing country.     

The role of attributional judgments when adopted computing technology fails: a comparison of Microsoft Windows PC user perceptions of Windows and Macs

The bulk of research to date on diffusion of innovations and the user acceptance of computing technology has focused on modelling the factors that lead to a user's decision to adopt and use a technology, instead of how individuals use technology and experience it after adoption. The current paper explores how users rationalise failures in their adopted innovations; their biases in the assessment of competing technologies; and the ultimate influence of these attributions on their interpersonal word of mouth communication with other users. The findings of the research point to the mechanisms of ego enhancement and innovativeness influencing users’ reactions to the failure of their adopted computing technology. Biases regarding competing technologies are, however, influenced by information presented in the mass media. Experienced users and users who are technologically innovative are more likely to exhibit biased optimism towards the technology they have adopted. When such users hear about the failure of the computing technology they have adopted, they are far more likely to blame other users for it. In contrast, less innovative, later adopters of a technology are far more likely to blame their adopted technology and consider it to be inferior.     

Information technology adoption and continuance: A longitudinal study of individuals’ behavioral intentions

Extant research on information technology (IT) adoption and continuance has not adequately modeled the times of adoption by individuals. This study argues that individuals adopt an innovation at different times and are likely to be influenced by different factors over time. The theoretical models are empirically validated using data gathered at three points in time through surveys of 132 users of a new innovation. The results indicate that the innovation attributes and individual characteristics influence individuals’ intentions to adopt the innovation during the early stage, and the innovation attributes and contextual factors impact the individuals’ intentions during the later stage.     

The Adoption of Electronic Innovations with Indirect Network Externalities that Compete with Standalone Physical Products

The authors consider how a change in product form impacts the adoption decision for an innovative product based on digital technology. Examples of changes in product form often arise in products that feature indirect network externalities, such as MP3 players, PDAs and e‐readers. Existing research suggests that, for innovations with indirect network externalities, the consumer's hardware adoption decision is influenced by the availability of complementary products. However, these studies of complementary products tend to focus on products that exist only as complementary products, such as DVDs, CDs, and video games. This research focuses on the case of an innovative hardware product that uses digital complementary products that compete with standalone versions of the same products. The authors argue that high levels of experience with a standalone product that competes with an innovative hardware/software bundle should increase the consumer's appreciation of (1) the utilitarian benefits of the hardware/software bundle and (2) the hedonic benefits of the standalone product, some of which may not be transferable to the electronic hardware. An analysis of data collected from 549 potential adopters of e‐readers in Japan support these hypotheses. The findings have important implications for the design and marketing of digital innovations that involve a change in product form.     

Investigating the adoption of MOOCs: A technology–user–environment perspective

In spite of the potentials promised by MOOCs (massive open online courses), the adoption rate of MOOCs is still low, especially in developing countries. Research on the adoption of MOOCs in developing countries is also limited. To fill this research gap, this research aims to study the adoption of MOOCs by extending current research on innovation and technology adoption in order to promote the diffusion of MOOCs in developing countries. Here, a conceptual framework, technology–user–environment was proposed to identify influential drivers and barriers of MOOC adoption. Eight hundred and twenty‐seven individuals in a developing country, were invited to participate in a questionnaire survey. Data were analysed by hierarchical regression, and the results show that for the (a) technological characteristics, perceived usefulness has the most significant influence, followed by lack of accessibility and performance‐to‐cost value; for the (b)user factors, self‐regulation was the most significant predictor of MOOC adoption, and female learners showed higher willingness to adopt MOOCs; and for the (c) social environmental factors, tradition and social norms and lack of information about MOOCs were negatively associated with adoption of MOOCs. Implications and suggestions are discussed at the end of this paper.