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.     

Environmental Analysis of Packaging for Soft Drinks Using the Life Cycle Assessment Methodology

The knowledge of a product＇s life cycle is the first step on the search of sustainable development. The life cycle assessment （LCA） is an important method because it allows an environment accounting, where the extraction of natural resources and energy of the nature are considered and the ＂returns＂ to the same one and allows in evaluating relative potential the environment impacts generated. The present work had as objective to make an analysis of material and energy flows of the life cycle of three types of packaging for soft drinks： glass bottles of 390 mL, aluminum cans of 350 mL, and bottles of PET of 2,000 mL. The study considered processes since the extraction of raw materials for production of the packaging until the stages of recycling, after the consumption of the soft drink. For the research, an inventory analysis followed the LCA methodology. The main critical points of generation of negative environmental impact during the life cycle of each packaging had been the identified and quantified data in this study. The consumption of natural resources like water and other raw materials and energy, the generation of atmospheric emissions, solid wastes and wastewaters had been the analyzed categories. The results showed that, in accordance with the scenes and defined variables, the most important conclusion was that the bottle of glass presented a less favorable scene to the environment in comparison with other packaging.     

Yeast or mushrooms? Productivity patterns across Swedish manufacturing industries, 1869–1912

This article applies Harberger's yeast versus mushrooms dichotomy to Swedish manufacturing industries in the four decades prior to the First World War. The evidence, broken down to cover five sub‐periods, points to a growth process resembling that of mushrooms more than that of yeast. In addition, it is argued that a yeast‐like (even) pattern of productivity growth rates invites one to search for a general purpose technology at work, whereas mushroom‐like progress leads one to dismiss the idea that a small number of technologies spilled over to a large number of manufacturing processes. The era under investigation coincides with the peak of the use of steam power and the infancy of electricity. The evidence makes it unlikely that steam in Sweden was a general purpose technology with the potential to affect the progress in productivity across industries in a yeast‐like fashion. The rampant spread of electricity may have contributed to the yeast‐like pattern in the last sub‐period preceding the First World War.     

To post or not to post: social media sharing and sporting event performance

Social networks are becoming increasingly important for consumers, especially in the context of sport, where the service experience is highly intense. Few studies have combined subjective event performance variables and social network variables to analyze social network content sharing by sports practitioners. This article investigates the use of social networks in relation to sporting events. An empirical study examined the role of social network variables and sporting event performance variables in social media use. The sample consisted of 410 triathletes (72.2% male) aged between 18 and 66 years (mean 37.03 ± 8.62). Four analyses were performed using fuzzy‐set qualitative comparative analysis to examine the causes of sharing comments through social media, sharing photos and videos on social media, participant satisfaction, and word‐of‐mouth (WOM). The event's general image was a necessary condition in all cases. The combination of participants’ satisfaction and positive event image and the combination of social network use and positive event image lead to social network content sharing by athletes. The combination of positive event image and participant satisfaction leads to a positive WOM.     

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.     

How Endowments, Accumulations, and Choice Determine the Geography of Agricultural Productivity in Ecuador

Spatial disparity in incomes and productivity is apparent acrossand within countries. Most studies of the determinants of suchdifferences focus on cross-country comparisons or location choiceamong firms. Less studied are the large differences in agriculturalproductivity within countries related to concentrations of ruralpoverty. For policy, understanding the determinants of thisgeography of agricultural productivity is important, becausestrategies to reduce poverty often feature components designedto boost regional agricultural incomes. Census and endowmentdata for Ecuador are used to estimate a model of endogenoustechnology choice to explain large regional differences in agriculturaloutput and factor productivity. A composite-error estimationtechnique is used to separate systemic determinants from idiosyncraticdifferences. Simulations are employed to explore policy avenues.The findings suggest a differentiation between the types ofpolicies that promote growth in agriculture generally and thosethat are more likely to assist the rural poor.     

The impact of pre-announced day-to-day interventions on the Colombian exchange rate

Using cross-country cross-industry data, this paper explores how industry’s growth in number of firms in Central-East Europe (CEE) region is influenced by bank concentration in both the pre-crisis and crisis periods. The CEE region shows highly concentrated banking markets and less-developed financial markets; thus, the level of bank concentration and the resulting credit supply are crucial for firm creation and survival. Despite this, there is little evidence on these countries in the literature. Our empirical results suggest an inverted-U relationship: industry growth is fostered by bank concentration, but there is a turning point from which higher concentration begins producing the opposite effect. Moreover, the positive impact has a greater intensity during the crisis period compared to the pre-crisis period. Between sectors’ analysis shows that high-tech sectors are less reactive to changes in the concentration level.