Gains from resistance: rejection of a new digital technology in a healthcare sector workplace

The issue of spaces for non-organised employee resistance has attracted renewed attention due to the diffusion of new digital technologies in the workplace. The ability of new technologies to measure and restrict employee behaviour in new ways requires explanations of resistance that account for both technology’s material characteristics and employee agency, without descending into technological determinism. This article is based on a case of effective resistance to a new data reporting technology introduced in home nursing in Denmark and explores the causes, forms and outcomes of the resistance. In this study, labour process theory is complemented with Edwards and Ramirez’s classification of dimensions of technological change. The study argues that two dimensions are important for effective employee resistance to technology: contestation of the unintended rather than the intended effects of the technology and the non-immanence of the effects in the technology, which allows the employees to reconstitute it in use.     

Automation and the future of work: A social shaping of technology approach

Recent years have seen enormous attention paid to automation and its potential implications for the future of work. This study rejects unhelpful speculation and, instead, poses the question ‘what is shaping automation and its predicted effects?’ In contrast to the technological determinism framing much of the current debate, this study utilises the social shaping of technology (SST) approach, a theoretically informed body of research largely overlooked by sociology of work scholars. Compared with mainstream commentary, which treats technology as separate from the social world, SST facilitates examination of how the development and use of technology are shaped by broader socioeconomic concerns and politics. The analysis presented is based on an understanding of how technology is shaped by existing technology, economics, social relations, gender and the state.     

Sources, characteristics and effects of emerging technologies: Research opportunities in innovation

Diverse technological developments across information technology, biotechnology, nanotechnology, and satellite communications technology are dramatically altering industry landscapes, with important economic and policy implications. Not surprisingly, therefore, managers are challenged to develop strategies to cope with the threats posed by emerging technologies and leverage the opportunities posed by them. Indeed, there is growing anecdotal evidence that firms' inabilities to cope with emerging technologies have produced high product and firm failure rates.From an academic perspective, I argue that emerging technologies have important distinctive features that have not been examined in current theory in marketing, and specifically, in organizational innovation. In this article, I identify several research questions that emerge from the sources, characteristics and effects of emergent technologies in the area of organizational innovation. Insights generated from such a line of inquiry have the potential to broaden the canvas of innovation theory and provide valuable insights to managers who confront these onerous challenges on a daily basis.     

Transformative capacity: Continual structuring by intertemporal technology transfer

The ability to maintain internally developed technology over time is important for corporate vitality. We label this ability transformative capacity and suggest that it depends on how well a firm accomplishes three tasks, These tasks are: the choice of technologies, their maintenance over time, and their reactivation and synthesis when required. To establish the need for transformative capacity, we first discuss time lags in the development of technologies and markets to suggest that not all technologies developed by firms can be utilized immediately. We then examine dimensions of technological knowledge that affect knowledge transfer over time. Next, we build on the resource-based view of the firm to discuss how firms can create transformative capacity. The concluding discussion focuses on the implications of transformative capacity for the analysis and management of technological investments as a way to maintain corporate vitality.     

An Exercise To Explore The Future Impact Of New Technologies

New technologies have the potential to drastically change the way people and firms conduct business. But the future is difficult to predict, and the inherent uncertainty of a new technology's impact can be troubling. This article describes an exercise that has participants evaluate a 1937 U.S. Government sponsored technology forecast. The forecast identified thirteen inventions that were predicted to have a significant impact on society during the subsequent 10–25 years. These inventions included the television, facsimile machine, mechanical cotton picker, and trailer homes, among others. Participants in the exercise are challenged to evaluate the accuracy of the 1937 forecast, and develop and understanding of the issues inherent in predicting the future impact of new technologies. They are then challenged to identify today's new technologies, and make predictions regarding these technologies' future impact. Today's new technologies may change important aspects of everyday life over the next few decades, and significantly influence the competitiveness of certain firms. The exercise illustrates how difficult it can be to anticipate the future impact of new technologies. New technologies take time to develop, and most forecasts are overly optimistic regarding the rate of development and adoption. New technologies can also develop in ways not anticipated, and a new technology may have uses that are difficult to foresee. These challenges notwithstanding, it is still important to regularly track new technologies and attempt to anticipate their potential impact. The greatest danger comes not from having inaccurate predictions of the future impact of new technologies, but from having not thought about the potential impacts. The exercise was developed for use in an executive MBA program to encourage participants to think beyond the budgets and deadlines that drive much of their regular work activity. It was designed to challenge them to reevaluate whether they, and their firm, were thinking about how new technologies might impact their industry. The exercise has the greatest impact and applicability when conducted at corporate programs or with Executive MBA students, but can be used in a typical MBA or MS program as well. It can be conducted in a three‐four hour session, or over multiple shorter sessions. © 2002 Elsevier Science Inc. All rights reserved.     

Technology adoption and value chains in developing countries: Evidence from dairy in India

Adoption of modern technologies in agriculture is crucial for improving productivity and welfare of poor farmers in developing countries. Not much is known about how value chains do (not) affect technology transfer and/or adoption in food chains in developing countries. We analyze farm-level technology adoption in the dairy chain in India, using unique survey data. The dairy chain in India is an important case because the Indian government has promoted development of the dairy sector for its potential for ‘pro-poor’ growth, and because value chain initiatives had strong effects on dairy farm technology in other countries with imperfect markets and growth in demand. We find that despite rapid growth in milk consumption and production, technology adoption in the form of better hygienic practices, better feed and improved livestock was mixed, and low for certain regions and technologies. So far, the role of value chains in the adoption of new technologies seems to be minor.     

Technology Sharing in Manufacturing Business Groups

Technology represents the primordial force for companies and organizations in securing long‐term competitiveness. In the intensive search to access new technology, organizations are more and more looking beyond the borders of the focal firm and becoming involved in various networks with suppliers, consultants, partners, and others. However, the distinction between the focal firm, on the one hand, and networks, on the other, is in this paper argued to be too extensive without intermediating nuances. Less focus is given to an in‐between perspective configured by business groups or concerns here defined as parent corporations with subsidiary companies. It is this perspective of business groups with characteristics between individual firms and open networks that is of interest in this paper. The focus is on manufacturing business groups in which the companies will typically have individual as well as common technologies. The research aim is to develop a framework to be used as an analytical tool for understanding and organizing technology sharing in manufacturing business groups. The research approach was to study technology sharing in a natural setting combining multiple in‐depth sources of evidence in a clinical research setting. A prestudy identified key dimensions in classifying cases leading to four clusters of typified cases. Data were gathered from meetings with 24 managers from various research and development (R&D) units who met regularly every other week during seven months, in‐depth interviews, internal documents and protocols, and workshops. Following the clinical field‐study approach, findings are theoretically validated in relation to literature. The analysis identifies and depicts four different types of technology‐sharing scenarios in manufacturing business groups. Each type has particular characteristics of its own. The four scenarios together provide a synthesized portfolio with different types of dimensions. A first dimension makes a distinction between sharing new technology development versus existing technology. Another distinguishes between technologies aimed at the whole business group and those aimed at specific segments. The two dimensions together comprise four different types of technology‐sharing alternatives. Each one of them can be used at the focal firm, and together, they are applicable from a business group perspective comprising technology‐sharing portfolios of manufacturing business groups.     

Stimulating 'hot technologies': interorganizational networks in Dutch ceramic research

The role of interorganizational R&D networks between firms and universities in knowledge transfer of advanced technologies is analyzed. The starting assumption (coinciding with reasons of government bodies to support technological cooperation) is that a national knowledge and technology system exists. From this assumption a number of questions that exist about knowledge and technology transfer can be discussed. Notably whether the knowledge push model of technological innovation is valid. This is done through the analysis of the differences in the pattern of external contacts that exists between the scientific, industrial and policy organizations.
Empirical results of a case study of the stimulation of advanced ceramic technology by the Dutch government form the basis. Advanced ceramics is considered to be an emergent technology within the larger framework of generic technologies. However, the Dutch university and industry structure in this area is weak which raises a number of important questions about the possibility to built a technological infrastructure through government support. The paper concentrates on the role of resource and information flows, which characterize the position of specific organizations in the R&D network. The three main positions in this case are occupied by government bodies, various firms and the university and government laboratories.
Two conclusions on knowledge transfer in university-industry cooperation may be drawn. (a) Institutional (government and university) and industrial research networks are different in character and in fact they consist of different network elements. (b) Government policies, in this case, affect the outlook of scientists but not of firms.     

Electronic funds transfer as a subject of study in technology,society and public policy

As society becomes increasingly dependent upon technology, and so increasingly a subject of public policy scrutiny, it is essential to acquire as much knowledge as possible about technology development, adoption, use, and impacts. The authors propose in detail a long-term study of electronic funds transfer that would cover six major topics: how technology emerges; how new technology is handled by existing institutions; how new technologies are assimilated by the public; what specific impacts new technologies have; how new technologies create synergistic impacts with other technologies; and how technologies change over time to conform to new circumstances and developments. They conclude with a consideration of the measures necessary for the implementation of such a study.     

Why do incumbents sometimes succeed? Investigating the role of interorganizational trust on the adoption of disruptive technology

Previous research has noted that new firms traditionally have more success with the diffusion of disruptive technologies than do incumbent firms. For the development of disruptive technologies, newer firms appear to be advantageous as they are generally more flexible in resource allocation. However, exceptions can be found in various industries in which incumbents have been able to succeed with their own disruptive technologies. One possible explanation for these exceptions is the influence of pre-existing levels of trust already developed between incumbents and potential buyers of disruptive technologies. In order to explore this further, this article provides a link between interorganizational trust and the adoption of new, disruptive technologies in industrial markets. By surveying 134 current and potential Software-as-a-Service (SaaS) users, we show how pre-existing, interorganizational trust impacts the perceptions a potential buyer has towards a disruptive technology and how these perceptions influence a buyers' intention to adopt a new, disruptive technology. Beyond trust, we use perceived ease of use, perceived value, perceived usefulness and financial stability to create a predictive model for intention to adopt. Holistically, this article provides insight on how buyer–supplier relationships generally favor incumbent firms and can impact a buyers' perception of a new, disruptive technology.