Discretionary technology bootlegging tensions in institutional healthcare work

We explore individuals who take some of their technology use ‘underground’, described as ‘bootlegging’, to enhance healthcare work. We find that healthcare professionals’ informal use of mobile applications in healthcare work sometimes ‘sticks out’ and this produces professional identity tensions: (1) conflict with perceptions of professional behaviour, and (2) defilement of expert judgment. Our analysis, moreover, reveals that identity work (i.e. ‘accepting’ and ‘sensemaking’) provides a coping mechanism to deal with these unresolved professional identity tensions. This paper contributes to a better understanding of the constitutive entanglements and two‐way interactions of discretionary technology bootlegging, professional identity and autonomy in institutional healthcare work.     

'High-performance' Management Practices, Working Hours and Work–Life Balance

The effects of selected high‐performance practices and working hours on work–life balance are analysed with data from national surveys of British employees in 1992 and 2000. Alongside long hours, which are a constant source of negative job‐to‐home spillover, certain ‘high‐performance’ practices have become more strongly related to negative spillover during this period. Surprisingly, dual‐earner couples are not especially liable to spillover — if anything, less so than single‐earner couples. Additionally, the presence of young children has become less important over time. Overall, the results suggest a conflict between high‐performance practices and work‐life balance policies.     

Restricted electricity use among poor urban households

For a variety of reasons, this article argues, electricity must be seen by policy‐makers in South Africa not as the sole provider of all future household energy needs, but rather as one component of an energy mix which includes such ‘transitional’ fuels as coal, gas and paraffin. The reasons for this are that electricity is expensive for poor households; it is subject to power failures and disconnections for non‐payment; the poor find it difficult to monitor and to control their consumption; appliances are expensive and several are required to make best use of electricity; people prefer other fuels because they are familiar and have strong personal and cultural associations, and because Eskom is not trusted owing to its past ties to illegitimate local authorities and misunderstanding of electricity and how its use is monitored and charged for. Further, it is mistaken to equate ‘development’ with total electrification: most developed countries have fuel mixes which include gas and coal, particularly for cooking and heating. Accepting an affordable fuel mix for the poor in particular would focus attention on the problems currently associated with paraffin, gas and coal, namely fires, poisoning and air pollution.     

Adding Value to Agricultural Data: A Golden Opportunity

Agricultural decision makers rely on information provided by public and private entities. Data is a valuable asset and represents a tremendous investment of resources. However, difficulty locating sources and/or interpreting values may compromise its usefulness. The Florida citrus industry serves as an example of the data problem faced by many users; over 50 publications produced by 13 agencies are identified as official sources of citrus data. An indication of the potential for lost value and the dilemma facing modern agriculture is provided. This paper draws on corporate information management techniques as a framework for adding value to agricultural data.     

Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models

Nine macroeconomic variables are forecast in a real-time scenario using a variety of flexible specification, fixed specification, linear, and nonlinear econometric models. All models are allowed to evolve through time, and our analysis focuses on model selection and performance. In the context of real-time forecasts, flexible specification models (including linear autoregressive models with exogenous variables and nonlinear artificial neural networks) appear to offer a useful and viable alternative to less flexible fixed specification linear models for a subset of the economic variables which we examine, particularly at forecast horizons greater than 1-step ahead. We speculate that one reason for this result is that the economy is evolving (rather slowly) over time. This feature cannot easily be captured by fixed specification linear models, however, and manifests itself in the form of evolving coefficient estimates. We also provide additional evidence supporting the claim that models which ‘win’ based on one model selection criterion (say a squared error measure) do not necessarily win when an alternative selection criterion is used (say a confusion rate measure), thus highlighting the importance of the particular cost function which is used by forecasters and ‘end-users’ to evaluate their models. A wide variety of different model selection criteria and statistical tests are used to illustrate our findings.     

Book Reviews

Richard Robison, Indonesia: The Rise of Capital, Allen and Unwin, Sydney, 1986 pp. xxv + 425. Indexed. $19.95.

W.L. Korthals Altes, Changing Economy in Indonesia: Volume 7: Balance of Payments, 1822–1939, Amsterdam: The Royal Tropical Institute. pp. 167.

Trade Statistics, Java, 1823–73: Trade Statistics, Indonesia 1874–1937. Mededeelingen van het Centraal Kantoor voor de Statistiek nos 160 and 161

Om Prakash, The Dutch East India Company and the Economy of Bengal, 1630–1720, Princeton: Princeton University Press, 1985 pp. xii + 291, map, tables. graphs, glossary, index. Cloth $38.50.

Sediono M.P. Tjondronegoro, Social Organization and Planned Development in Rural Java, Singapore, Oxford University Press for the Institute of Southeast Asian Studies, 1984, pp. xv + 326.

A. Fujimoto and F. Matsuda (eds), An Economic Study of Rice Farming in West Java, Tokyo: NODAI Research Institute, Tokyo, University of Agriculture, 1986.

A. Fujimoto and T. Matsuda (eds), A Comparative Study of the Structure of Rice Productivity and Rural Society in Southeast Asta Two Village Studies in Indonesta and Thailand, Tokyo: University of Agriculture, 1985. Reviewed by C.L J. van der Meer (1986) Bulletin of Indanesian Economic Studies, 22(2) pp. 124–27

David Jenkins, Suharto and His Generals: Indonesian Military Politics, 1975–1983, Ithaca: Cornell Modern Indonesia Project, Monograph Series No. 64, 1984, pp. xiii + 280. US$12.50. David Bourchier, Dynamics of Dissent in Indonesia Sawito and the Phantom Coup, Ithaca: Cornell Modern Indonesia Project, Interim Reports Series, 1984, pp. 128. US$9.00.

Linda G. Martin (ed), The ASEAN Success Story: Social, Economic, and Political Dimensions, East-West Center, distributed by the University of Hawaii Press, Honolulu, 1987, pp. xviii + 253. $15.00.

Mubyarto and Edy Suandy Hamid (eds), Kredit Pedesaan di Indonesia, Badan Penerbit Fakultas Ekonomi, U.G.M., 1986 pp, 160.

Ron Hatley, et al., Other Javas Away from the Kraton, Melbourne: Monash University, 1984, pp. 60.

K.S. Nathan and M. Pathmanathan (eds), Trilateralism in Asia: Problems and Prospects in US-Japan-ASEAN Relations, Antara Book Company, Kuala Lumpur, 1986, pp. xviii + 205. $18.00 (cloth): $12.00 (paper).     

Using technology to improve the management of development impacts on biodiversity

The mitigation hierarchy (MH) is a prominent tool to help businesses achieve no net loss or net gain outcomes for biodiversity. Technological innovations offer benefits for business biodiversity management, yet the range and continued evolution of technologies creates a complex landscape that can be difficult to navigate. Using literature review, online surveys, and semi-structured interviews, we assess technologies that can improve application of the MH. We identify six categories (mobile survey, fixed survey, remote sensing, blockchain, data analysis, and enabling technologies) with high feasibility and/or relevance to (i) aid direct implementation of mitigation measures and (ii) enhance biodiversity surveys and monitoring, which feed into the design of interventions including avoidance and minimization measures. At the interface between development and biodiversity impacts, opportunities lie in businesses investing in technologies, capitalizing on synergies between technology groups, collaborating with conservation organizations to enhance institutional capacity, and developing practical solutions suited for widespread use.