Evaluating Supply Chain Context-Specific Antecedents of Post-Adoption Technology Performance

This study investigated the influence of context-specific antecedents to user perceptions of technology performance using a new logistics information tracking technology designed to facilitate the linking of supply functions. Supply chain awareness, task-technology fit, and satisfaction with the existing system were evaluated as external variables likely to influence technology performance. This research examines the effect of these three constructs on technology acceptance as a function of post-adoption perceptions of technology performance. The research model was based on the original Technology Acceptance Model. Data from a mail survey were collected to evaluate 718 first-tier supply chain users’ perceptions of a new technology’s performance that includes accuracy, visibility, and efficiency. A structural equation model tested eleven hypothesized relationships. The results of this study advance understanding of technology adoption, enrich knowledge of technology innovation, and offer suggestions for enhancing user perceptions of technology performance. Implications along with suggestions for future research are provided

Technological, Organizational, and Environmental Antecedents to Web Services Adoption

The proliferation of web services within the last two years enables organizations to assimilate software and services from different companies and locations into an integrated service capable of streamlining important processes. Widespread adoption of web services has not yet occurred across all industries. To better understand the key determinants of web services adoption at the firm level, a conceptual model of factors impacting web services adoption was developed. The conceptual model was grounded in the technology-organization-environment (TOE) framework (Tomatzky and Fleischer, 1990) to support the formulation of eleven propositions that may affect adoption and continued utilization of web services. Specifically, factors for each of the contexts within the TOE framework were formulated and supported including: (1) technological factors (security concerns; reliability; deployability); (2) organizational factors (firm size; firm scope; technological knowledge; perceived benefits); and, (3) environmental factors (competitive pressure; regulatory influence; dependent partner readiness; trust in the web service provider). A summary of the relationships between the key constructs in the model and recommendations for future research are provided

Human resource oriented antecedents to post-adoption technology performance

This study investigated the influence of human resource oriented antecedents to user perceptions toward the performance capabilities of a new logistics information tracking technology. Willingness to take risks, job relevance, trialability and technology trust were evaluated as antecedents to technology performance. The research examined the effect of these constructs on technology acceptance as a function of post-adoption perceptions of technology performance. A research model was developed and tested based in Rogers’ (2003) Innovation Diffusion Theory. Data from a mail survey were collected from 224 first-tier supply chain users of the technology. Structural equation modelling was used to test six hypothesized relationships for significance, direction, and intensity. The findings indicate that: (a) willingness to take risks and job relevance affect technology trust and technology performance; and, (b) trialability affects perceptions of technology performance. The results of this study advance our understanding of post-adoption perceptions of supply chain affiliates and offer suggestions for enhancing user perceptions of technology performance. Implications from this study along with suggestions for future research are provided

Personal Data Collection via the Internet: The Role of Privacy Sensitivity and Technology Trust

Policy makers and researchers from a wide range of perspectives have expressed concern about the interplay between privacy rights and information exchanges via the Internet. Of particular interest has been the challenge of protecting sensitive personal information. In this paper, we assert that user willingness to share sensitive data is an area of critical concern and requires additional investigation. In an effort to enrich the dialogue on the question of voluntary sharing of sensitive personal data via the Internet, we present a model showcasing the relationship between personal data sharing, privacy sensitivity, and technology trust and discuss how organizations can apply these insights

Investigating postadoption utilization: an examination into the role of interorganizational and technology trust

IEEE Transactions on Engineering Management, 54(3): pp 468-483.Grounded in the technology acceptance model (TAM), this study examines the influence of technology trust and interorganizational trust on postadoption utilization. This study extends the innovation diffusion literature by drawing upon past diffusion research and considering trust-based determinants in facilitating technology usage. Field interviews were conducted to develop an understanding of the user population and the unique challenges the individuals experienced while working with the new system. The results of the interviews enabled the author to identify which variables to investigate further through the use of a survey data collection protocol. In the present study, 273 first-tier supply chain members of the second-largest U.S. automotive service-parts logistics operation, who were recently introduced to a new supply chain management technology, were surveyed. Using a structural equation model, nine hypotheses were tested. As hypothesized, an individual’s technology trust and interorganizational trust have an effect on perceived ease of use and perceived usefulness, which further influence postadoption technology utilization behavior. The results suggest that even in supply chains where usage is mandated, the presence of technology and interorganizational trust can increase individual utilization of new technologies. Implications of this study along with suggestions for future research are provided

Effect of remote ischaemic conditioning on clinical outcomes in patients with acute myocardial infarction (CONDI-2/ERIC-PPCI): a single-blind randomised controlled trial.

BACKGROUND: Remote ischaemic conditioning with transient ischaemia and reperfusion applied to the arm has been shown to reduce myocardial infarct size in patients with ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). We investigated whether remote ischaemic conditioning could reduce the incidence of cardiac death and hospitalisation for heart failure at 12 months. METHODS: We did an international investigator-initiated, prospective, single-blind, randomised controlled trial (CONDI-2/ERIC-PPCI) at 33 centres across the UK, Denmark, Spain, and Serbia. Patients (age >18 years) with suspected STEMI and who were eligible for PPCI were randomly allocated (1:1, stratified by centre with a permuted block method) to receive standard treatment (including a sham simulated remote ischaemic conditioning intervention at UK sites only) or remote ischaemic conditioning treatment (intermittent ischaemia and reperfusion applied to the arm through four cycles of 5-min inflation and 5-min deflation of an automated cuff device) before PPCI. Investigators responsible for data collection and outcome assessment were masked to treatment allocation. The primary combined endpoint was cardiac death or hospitalisation for heart failure at 12 months in the intention-to-treat population. This trial is registered with ClinicalTrials.gov (NCT02342522) and is completed. FINDINGS: Between Nov 6, 2013, and March 31, 2018, 5401 patients were randomly allocated to either the control group (n=2701) or the remote ischaemic conditioning group (n=2700). After exclusion of patients upon hospital arrival or loss to follow-up, 2569 patients in the control group and 2546 in the intervention group were included in the intention-to-treat analysis. At 12 months post-PPCI, the Kaplan-Meier-estimated frequencies of cardiac death or hospitalisation for heart failure (the primary endpoint) were 220 (8·6%) patients in the control group and 239 (9·4%) in the remote ischaemic conditioning group (hazard ratio 1·10 [95% CI 0·91-1·32], p=0·32 for intervention versus control). No important unexpected adverse events or side effects of remote ischaemic conditioning were observed. INTERPRETATION: Remote ischaemic conditioning does not improve clinical outcomes (cardiac death or hospitalisation for heart failure) at 12 months in patients with STEMI undergoing PPCI. FUNDING: British Heart Foundation, University College London Hospitals/University College London Biomedical Research Centre, Danish Innovation Foundation, Novo Nordisk Foundation, TrygFonden