Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Do monetary subjective well-being evaluations vary across space? Comparing continuous and discrete spatial heterogeneity

Using subjective well-being estimations, this study analyzes whether compensating variations vary across space using a cross-sectional data set from Chile. To achieve this goal, it describes and compares two econometric ways of modelling unobserved spatial heterogeneity. Both approaches allow compensating variations to vary across spatial units by assuming some distribution a priori. One method assumes that the spatial heterogeneity can be represented by a discrete distribution (a group of regions that share the same coefficient) and the other that the preferences can be represented by a continuous distribution (each region has a different coefficient). The results show that focusing just on the average estimates of compensating variations, as the applied studies have done so far, masks useful local variation. More empirical studies are needed to assess the advantages and disadvantages of both econometric approaches and how their results compare across a wide range of conditions and samples.     

Irrigation water productivity in Cambodian rice systems

Knowledge of the marginal productivity of water is crucial for decisions about its allocation between uses, which is particularly important in the context of increasing competition for water. Using primary, plot‐level panel data, this article estimates the marginal productivity of water from supplementary irrigation in lowland rice systems in Cambodia, taking into account farmer and plot heterogeneity as well as self‐selection of supplementary irrigation. Our estimates indicate a range of elasticities for rice output with respect to water inputs of between 0.057 and 0.069 for wet season production, substantially lower than previous estimates based on either aggregate or trial data. We discuss the policy implications of these results, in particular with respect to the utility of demand management policies and the challenges they pose to the decentralization of water management to Farmer Water Users Groups.     

Managers and Wage Policies

Do individual top managers matter for wages and wage policies? Are there general differences in “style” among managers with respect to worker compensation? To shed light on these questions, we exploit a large panel dataset from Portugal that allows us to match workers, firms, and managers, and follow the movements of the latter across different firms over time. While accounting for the effect of worker and firm heterogeneity, we estimate the role of top manager fixed effects in determining wages and wage policies. The estimates suggest that (i) top managers have a significant influence on wages and wage policies; (ii) there exists different managerial “styles”; and (iii) managers’ (observable) attributes matter for worker compensation.     

The innovation performance of MNE subsidiaries and local embeddedness: evidence from an emerging economy

We examine the innovation performance of MNE subsidiaries and their embeddedness in sources of local knowledge in a policy framework within the context of an emerging economy. Based on first-hand evidence from multiple case studies, we found that: (1) there was variability between the subsidiaries in terms of the cumulative manner and speed at which they improved their innovation performance over time, using progressively levels of accumulated capability as a proxy; (2) these differences in innovation performance improvement reflected heterogeneity between the subsidiaries in terms of the learning efforts made to acquire knowledge from local organizations; (3) the varied frequency in which the subsidiaries developed such local relationships reflects their differing responses to a common industrial policy that makes use of tax incentives to stimulate such links. The paper reveals the limitations of this conventional type of industrial policy in stimulating industrial development and the embeddedness of MNEs. It also suggests that a new direction for policy, which incorporates public–private negotiations and a focus on the firm-centred building of innovation capabilities, should be pursued in order to accelerate the innovation performance progress of latecomer firms.     

Impact of IT Service Management Frameworks on the IT Organization

Over 90 percent of companies are estimated to use IT Service Management (ITSM) frameworks, yet there is little research on their benefits to the Information Technology (IT) department and the business units. An international survey of 491 firms was conducted to assess the benefits of the IT Infrastructure Library (ITIL), the de-facto ITSM framework, specifically on how these benefits evolve as companies increase their adoption of the ITIL model. Also studied are the perception of challenges of the implementation and the number of ITIL processes implemented in relation to the progress of the adoption of ITIL. Results indicate that as the maturity of implementation increases, the perception of challenges decreases. Findings also show that as the maturity of implementation increases, the number of realized benefits increases, as well as the number of implemented ITIL processes. Implications for practitioners and researchers are also discussed.