Information technology: the next wave. Clinician acceptance of information technology

Information systems have yet to make a significant inroad at the interface between clinicians and patients. The obstacles to implementing information systems at the clinical level are formidable. As these systems have begun to mature and marketplace pressures have created changing needs for clinicians and the integrated delivery systems they are working in, the need for these systems has increased. Understanding the pressures that managed care brings to bear on clinical processes will facilitate clinicians' acceptance of these technologies.     

Organizational context, climate and innovativeness: adoption of imaging technology

Managers make decisions to adopt technological innovations within an organizational context. This research explores the role of organizational climate as it affects the impacts of organizational context on innovativeness. Context refers here to organizational size, slack resources, and organizational age. We analyze three known climate dimensions as moderator variables: risk orientation, external orientation, and achievement orientation. Data describe the adoption of medical imaging technologies by 70 hospitals. Climate measures come from several technology decision-makers within each organization. Technology measures of radicalness and relative advantage are ratings by five outside experts in the use of these 68 technologies. The study also includes the traditional measure that counts the overall number of innovations adopted. Innovativeness is a multi-dimensional composite variable composed of radicalness, relative advantage, and number of innovations adopted. As expected, results show that organizational size and slack are positively related with innovativeness. Hierarchical regression analyses indicate that the climate measures of risk orientation and external orientation interact significantly with the context dimensions of organizational size and organizational age. The model developed and tested in this project explains over 50% of the total variance in innovativeness.     

含学习效应技术采纳时间的优化模型及模拟

针对企业技术采纳时间决策的问题,考虑企业内部学习效应和外部技术演进对企业技术采纳时间的影响,并重点考虑学习效应因素,建立了一个含学习效应技术采纳时间的优化模型;给出了企业技术采纳最优时间的决策准则;分析了企业最优技术采纳时间与固定采纳成本、市场容量、学习效率、外部技术进步率和需求弹性等因素之间的关系;模型模拟验证了模型的有效性和采纳决策准则的合理性.     

Understanding technology adoption through system dynamics modeling: implications for agribusiness management

This work demonstrates the utility of sophisticated simulation tools in aiding agribusiness managers’ decision making. The system dynamics model developed here provides insight into the use of such models to evaluate potential adoption rates and diffusion patterns of yield mapping and monitoring technologies. The model allows for comparative analyses of the possible effects of different profit assumptions on adoption and diffusion.     

Determinants of innovativeness in SMEs: disentangling core innovation and technology adoption capabilities

This paper studies innovativeness in SMEs from a set of innovation indicators at the firm level, capturing various types of innovation (product, process, organisational, and marketing innovations) and the level of innovativeness in these firm’s developments. The article identifies two separate dimensions in the innovativeness of Spanish SMEs, using factor analysis techniques. One dimension is associated with the capabilities for core/internal innovation and the other with the capabilities for the adoption of technology. The paper shows that significant differences exist in the personal and organisational factors that favour these two dimensions. The entrepreneur’s motivation, business planning, and cooperation in R&D activities constitute significant factors when considering the core dimension of a firechnology adoption. However, the use of external consultancy services seems to have no significant effect on the core dimension of the innovativeness of an SME, whereas it is a relevant factor for its technology adoption. Furthermore, it is shown that the entrepreneur’s education plays a more significant role in the core dimension of a firm’s innovativeness than in its capabilities for technology adoption. Depending on the policy objectives, these differences should lead to the application of specific policy approaches when an attempt to stimulate innovation in SMEs is made.     

Additive manufacturing technology adoption: an empirical analysis of general and supply chain-related determinants

Despite experiencing immense growth in the past decade, additive manufacturing (AM) technologies—colloquially known as 3D-printing—are still rarely used in industrial fabrication. Being at the interface between technology, innovation, behavioral science and operations management research, this paper identifies multifaceted factors that determine the decision to adopt AM technologies for the production of industrial parts. A review of the relevant literature revealed eight potential factors. These can be classified into four interdisciplinary categories: technology-related factors, firm-related-factors, market structure-related factors, and supply chain-related factors. Special focus is placed on the impact of supply chain-related issues, because there are indicatives that these aspects have an influence on the decision to adopt AM technologies since AM may offer distinct opportunities for both, the supply- and demand-side of a firm’s operations. No work in the field of manufacturing technology adoption has examined the role of such inter-organizational factors before. The results of an empirical study among 195 firms indicate that demand-side benefits and compatibility are the main determinants of AM technology adoption. This suggests that not only intra- but also inter-organizational factors should be considered when investigating the adoption of technological innovations. Furthermore, it is carved out that the adoption of AM technologies has an interdisciplinary nature.     

A model of the adoption of radio frequency identification technology: The case of logistics service firms

Globalization and advances in information technology represent both realities and opportunities for enterprises in the 21st century. This paper aims to broaden understanding of service innovation as a critical organizational capability through which the adoption of information technology influences firm performance. This study examines how the adoption of radio frequency identification (RFID) technology influences the operational performance of logistics service firms. We develop the RFID adoption model based on the interorganizational information systems (IOS) view of the firm that integrates the various strands of research into the framework. The study draws from the related information technology and interorganizational information systems literatures to explore organizational factors associated with the adoption of RFID. A model of the associations between information technology and interorganizational information systems use, social support, power structure, organizational readiness, procedural flexibility, and top management support is developed, and hypotheses are advanced about the relationships among these constructs. An empirical survey was conducted among 500 logistics service firms in Taiwan. A total of 131 valid observations were analyzed using the partial least squares technique. Results showed that RFID adoption has positive effects on business practices, which in turn improves operational performance. We address the value of certain interactive firm behaviors in RFID adoption and identify related constructs of RFID adoption in terms of their efficiency and value for logistics service firms. These results have implications for both education and practice.     

Individual adoption of convergent mobile phone in Italy

The present study integrates the technology acceptance and convergence streams of research to develop and test a model of individual adoption of convergent mobile technologies. Adopting structural equation modelling, we hypothesize that relative advantage, effort expectancy, social influence and facilitating conditions affect directly individual attitude and, indirectly the intention to use convergent mobile technologies. The model explains a highly significant 53.2% of the variance for individual attitude, while individual attitude accounts for 33.9% of the variance in behavioral intention. Authors are listed alphabetically.     

Individual innovation adoption and the role of organizational culture

Review of Managerial Science - Technological innovations are generally considered to contribute positively to the organization, but there are gaps in our understanding of how benefits can be...     

Culture,connectedness, and international adoption of disruptive innovation

Why might nations vary in whether and how fast to adopt potentially disruptive innovations? Our study investigates this issue, specifically how a nation's adoption of creatively destroying innovations is related to two previously unexplored variables: cultural looseness, which is a norm-based measure of informal institutions, and global connectedness. To highlight potential contributions from these new variables, we control for within-nation contextual variables examined in prior research, including formal institutions, Hofstede's dimensions of cultural values, socioeconomic attributes, and between-nation economic grouping. Our empirical analysis of a specific disruptive innovation, agricultural biotechnology adoption, covers 47 nations over a 14-year period and provides broad support for the usefulness of cultural looseness and global connectedness for understanding innovation adoption. Cultural looseness is significantly related to adoption of agricultural biotech. Global connectedness dimensions of depth and breadth are not directly related to adoption, only interactively with cultural looseness. These findings highlight the role of informal institutions and global connectedness in shaping complex interactions between disruptive innovation and industrial evolution within and across nations. The findings also have implications for what public policy makers might do to influence the extent of adoption of such innovations.     

On the adoption of lean manufacturing principles in process industries

Traditionally, the lean paradigm has been applied to discrete manufacturing of items that can be easily put together and taken apart. The process industry, on the other hand, transforms raw materials into cohesive units that are basically blended into a final product with parts that cannot be disassembled and then reassembled. The current lean literature provides numerous commendable examples of theory and practices of lean principles in discrete manufacturing. However, its application in process industry is limited. Furthermore, there is no systematic accounting of the lean literature in this sector, which may have contributed to lesser awareness in the industry. This paper provides a state-of-the-art review of lean manufacturing literature with respect to its applications in process industry. It contributes to the classification of literature in a manner which helps to identify strategies suitable for the adoption of lean concepts in process industry. The paper seeks to synthesise the literature with an emphasis on identifying the scope for lean in process industry and associated benefits. The review also presents an analysis of the lean tools and techniques that have been applied or have potential application in the process industry and the challenges to implement lean. We believe that such a comprehensive review will not only facilitate the adoption of lean in process industry but will also provide agenda for further research by exposing voids in the knowledge base.     

Determinants of RFID adoption intention by SMEs: an empirical investigation

Radio frequency identification (RFID) technology has been considered as one of the 10 technologies that will transform firm across industries. However, the adoption and use of the technology has been slower than predicted, mainly because of technological, organisation and environment factors related to RFID. This study develops a conceptual model that explores the role that technological, organisational, environmental and managerial characteristics of small and mid-sized enterprises (SMEs) play in their intention to adopt RFID technology. To test the model, a web-based survey was administered to 453 SME managers from the USA, the UK, Australia and India. Logistic hierarchical regression is used to test the proposed model. Implications for RFID technology research, theory and practice are discussed.     

The Effects of Electronic Data Collection on the Percentage of Current Clinician Graphs and Organizational Return on Investment

Behavior analysts rely on frequent access to graphed data to facilitate clinical decision making and enhance their programming. Several new electronic data collection (EDC) products have recently been developed and marketed to behavior analysts. We evaluated the effects of an EDC software system on the percentage of current graphs. We also evaluated the potential return on investment (ROI) of the tool for a large human services agency. During baseline, graphs were seldom updated at the designated time the supervisor examined the file. When the EDC software was implemented, 100% of graphs were updated at all checks for all consumers with minimal or no corresponding increase in clinician hours. A comprehensive index of ROI was calculated using various costs of implementation and observed and estimated savings. Implementing the EDC software across the human services agency resulted in a projected cumulative positive average ROI of 59% over five years. These results are discussed in terms of strategies for systematically evaluating the costs and benefits of organizational efforts to use technology to enhance staff performance in human service settings.     

A conceptual model for the process of IT innovation adoption in organizations

In this paper, we develop a conceptual model for IT innovation adoption process in organizations. The model utilizes Diffusion of Innovation (DOI) theory, Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB) and a framework that contains characteristics of innovation, organization, environment, chief executive officer (CEO) and user acceptance. The model presents IT adoption as a sequence of stages, progressing from initiation to adoption-decision to implementation. The study presents a model with an interactive process perspective which considers organizational level analysis until acquisition of technology and individual level analysis for the user acceptance of IT.     

Organizational cloud service adoption: a scientometric and content-based literature analysis

This paper takes a scientometric research approach and undertakes a categorized literature analysis to provide a comprehensive and systemic overview of the current status of research on cloud services and their adoption by organizations. We review 52 journals and proceedings of the information systems field to identify and systematically categorize 36 articles on the topic. Our content-based analysis shows that the scarce theoretical and empirical work on organizational cloud service adoption has developed and explored factors that directly or indirectly drive organizations to adopt or inhibit them from adopting cloud services from different perspectives and dimensions. We classify these driving and inhibiting determinants based on the technology organization environment framework Tornatzky and Fleischer (The process of technological innovation. Lexington Books, Lexington, 1990) to provide a structured summary. Based on our analysis and recent cloud evolution in practice, we identify five new research areas, including theoretical and practical phenomena describing determinants and consequences of cloud service adoption in organizations: information technology (IT) related public threat appeals, trust in the technology versus trust in the vendor, bring your own cloud, transformation of organizational identity, and intelligent clusters of IT initiatives. For each phenomenon we provide relevant research questions, potential theoretical foundations, and methodologies to guide future research endeavors in this field.     

Computer and internet adoption on large U.S. farms

The adoption of the personal computer and the Internet is studied within a sample of large U.S. farms. Factors such as age and education influence the adoption of both technologies. Likewise, strong relationships exist between the adoption of each technology and the sophistication of farm management and the complexity of the farm business. After controlling for computer adoption, the results suggest there remain several factors limiting Internet adoption. It appears that producers are unsure as to how the Internet can best be used to create value in their farm businesses.     

Technology adoption and training practices as a constrained shortest path problem

Technology adoption is not a new venue for research. Much work of decision modeling, diffusion of new technology and statistical analysis of survey data has been done. Some studies focus on finding the optimal forms of technology to adopt within a complementarity framework, but there is no mention of finding an optimal path from a firm's current state to its optimal state. This represents a significant gap in the literature. The paper applies a constrained shortest path problem to training and technology adoption decisions by firms. Given the current set of training and technology adoption the method solves for what technology/practice should be adopted or removed from the complete set of combinations and in what order so as to maximize performance subject to budget constraints. To the authors' knowledge, this is the first application of the constrained shortest path problem to technology adoption decisions.     

Strategic adoption of a flexible manufacturing system: Case study of an Indian electronics enterprise

In recent years, strategic considerations relating to manufacturing management in the electronics industry have undergone transformation at a very rapid rate. They are being driven by pluralistic customer demands and influenced by technological innovations and competitive interventions. This paper reports on the strategic adoption and implementation of advanced manufacturing technology (AMT) in an Indian electronics enterprise which has collaborative alliance with a multinational corporation (MNC) in the USA. A hybrid model has been formulated using the nominal group technique (NGT) and analytic hierarchy process (AHP) to evaluate various alternative AMTs.     

Antecedents of the adoption and success of strategic cost management methods: a meta-analytic investigation

In the course of this study, a quantitative meta-analysis of the antecedents of the adoption and success of strategic cost management methods was conducted, based on 50 primary studies. Primarily qualitative reviews of previous literature in this field were expanded by examining and comparing the effect sizes of and between antecedents of primary studies and by integrating their diverse measurements of effects. The mediation of relationships between antecedents was quantitatively explored and integrated using a comprehensive structural model which is unaccounted for in current literature reviews. Quantitative moderator analyses demonstrated that conflicting effects could be explained by referring to country of origin, firm size, objects of analysis, and the position of respondents. The majority of these relationships could be seen to be valid across countries and industries. Surprisingly, however, most of the external, technological, and organisational context variables had no significance or only a weak impact, whereas a network of internal individual characteristics of responsible managers (such as the identification with cost management or the methodological knowledge of managers) had a strong correlation with the adoption and success of cost management methods.