Organizational career management practices and objective career success: A systematic review and framework

The theorization of the relationship between organizational investments in career development and individual success remains underdeveloped, and empirical tests of this relationship, which have been dispersed among several disciplinary areas, have produced inconsistent results. Addressing these issues, the purpose of this article is to propose a theoretical framework that illustrates why and how organizational career management practices translate into career success and under what circumstances the relationship is effective. Using a systematic review of empirical studies on career management practices and objective success, we identify three theoretical mechanisms - developmental, informational, and relational - and two groups of contingency factors that explain this relationship. Our framework advances the extant literature on organizational career management and provides suggestions to companies for designing effective career management systems.     

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.     

FORMAL SEARCH AND REFERRALS FROM A FIRM'S PERSPECTIVE

We explore the relationship between firms' characteristics and recruitment strategies. We present a theoretical search model with two search channels: a costly formal channel and a costless informal channel (referrals). We empirically test the model predictions and find that: larger firms search more formally; firms search more formally for high-skilled workers; the positive relationship between firm's size and formal search intensity also holds for firms not using referrals; firms using referrals invest less into formal search compared to firms not using referrals; larger firms hire less often by referrals than smaller firms; and larger search effort leads to more applicants.     

Do data policy restrictions impact the productivity performance of firms and industries?

This paper examines how policies regulating the cross‐border movement and domestic use of electronic data on the internet impact the productivity of firms in sectors relying on electronic data. In doing so, we collect regulatory information on a group of developed economies and create an index that measures the regulatory restrictiveness of each country's data policies. The index is based on observable policy measures that explicitly inhibit the cross‐border movement and domestic use of data. Using cross‐country firm‐level and industry‐level data, we analyse econometrically the extent to which these data regulations over time impact the productivity performance of downstream firms and industries, respectively. We show that stricter data policies have a negative and significant impact on the performance of downstream firms in sectors reliant on electronic data. This adverse effect is stronger for countries with strong technology networks, for servicified firms, and holds for several robustness checks.     

Death spiral PIPEs: a reconsideration of the evidence

We challenge the view that PIPEs lead to unfavourable outcomes for issuing firms. We show that structured PIPEs do not have significant negative CARs when a matched firm benchmark is used for computing CARs and when sample selection bias is taken into account. Indeed, structured PIPEs have significantly higher positive skewness, indicating superior optionality, consistent with the real option argument. We also show that the 2002 intervention by the Securities and Exchange Corporation (SEC) has led to unintended consequences, with the substitution of ‘mom and pop’ investors for hedge fund investors in the structured PIPE market.     

Decomposing Vulnerability to Poverty

This paper applies the decomposition of the Foster–Greer–Thorbecke poverty index to the measurement of individual vulnerability to poverty. I highlight that poverty risk can be expressed as a function of expected incidence, expected intensity, and expected variability below the poverty line, three essential aspects for improving the design of appropriate risk‐management policies. An empirical illustration is provided using the British Household Panel Survey and the Italian Survey on Household Income and Wealth.     

The role of accounting in supporting adaptation to climate change

The study is one of the first concerned with the topic of accounting and climate change adaptation. It proposes that the accounting role can support organisational climate change adaptation by performing the following functions: (i) a risk assessment function (assessing vulnerability and adaptive capacity), (ii) a valuation function (valuing adaptation costs and benefits) and (iii) a disclosure function (disclosure of risk associated with climate change impacts). This study synthesises and expands on existing research and practice in environmental accounting and sets the scene for future research and practice in the emerging area of accounting for climate risk.     

Consuming stress: exploring hidden dimensions of consumption-related strain at the intersection of gender and poverty

Abstract

Consumer stress as experienced at the nexus of gender and poverty, has received limited attention in marketing and consumer research. This empirical study applies the theoretical lens of social stress to explore gendered aspects of poverty, consumption and marketplace activity. It demonstrates that for women in poverty, consumer stress is a relational issue, involving marketplace and interpersonal (dis)connections. In particular, it surfaces the hidden, often, nuanced power relations that place additional strain on women with limited finances, as they oscillate between marketplace and intra-household pressures. By applying social stress theory, the study offers a new way of thinking about the unequal social relations and associated consumption strains bound up with the disadvantaged position of an intersectional group of women experiencing poverty.     

Dynamics of agricultural land use change in Kerala: a policy and social-ecological perspective

Land-use change is a phenomenon highlighting significant shifts in human interaction with the natural environment. Different patterns of agriculture and a trend towards non-agricultural land use challenge the sustainability of farming systems. This study aims to identify the causes of changes in land use and cropping patterns, with a special focus on paddy, the staple crop in Asia. In the case of Wayanad, a district in Kerala, South India, we argue for an interdisciplinary analysis of rapid land-use change to unpack the multiple dimensions of sustainability: economic, ecological and social factors, aggregating up to 70% reduction in the area under paddy by 2010. The results rest on empirical field research, participatory rural appraisals and stakeholder workshops conducted during the 4-year period from 2010 to 2013, along with state- and district-level data covering the 1983–2011 period. Reduced economic viability, labour shortages and population pressure on land are the major drivers for the transformation of paddy fields to other land uses. Changes in land use and agrarian structure reflect not only the livelihood strategies adopted by farmers in response to these drivers, but also the impacts of unintended policy idiosyncrasies. At a more fundamental level, they are the consequences of policy conflicts and inadequate sectoral integration of policies and implementation strategies.