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In this paper, the authors introduce supply disruption ambiguity as the inability of a sourcing firm to attach probability point estimates to the occurrence of and to the magnitude of loss from supply disruptions. The authors drew on the “ambiguity in decision-making” literature to define this concept formally, connected it to relevant supply disruption information deficit, positioned it relative to supply chain risk assessment and hypothesized and tested its negative associations with both supply base ties and inventory turnover.

The authors analysed survey data from 171 North American manufacturers and archival data for a subset (88 publicly listed) of these manufacturers via Ordinary Least Squares (OLS) estimation after ensuring that methodological concerns with survey research have been addressed. They used appropriate controls and employed the heteroskedasticity-based instrumental variable (HBIV) approach to ensure that inferences from our results are not unduly influenced by endogeneity.

Strong supply base ties decrease supply disruption ambiguity, which, in turn, increases inventory turnover. Moreover, strong supply base ties and data integration with the supply base have indirect and positive effects on inventory turnover. As sourcing firms strengthen ties and integrate data exchange with their supply base, their inventory turnover improves from access to information relevant to detect and diagnose supply disruptions effectively.

Research on supply disruption management has paid more attention to the “disruption recovery” stage than to the “disruption discovery” stage. In this paper, the authors add novel insights regarding the recognition and diagnosis aspects of the “disruption discovery” stage. These novel insights reveal how and why sourcing firms reduce their overall ambiguity associated with detecting and assessing losses from supply disruptions through establishing strong ties with their supply base and how and why reducing such ambiguity improves inventory turnover performance.

The purpose of this paper is multifold. First, it is to investigate the relationship between social network sites (SNSs) usage and youth's school absenteeism. Second, it is to identify causal relationship between SNSs usage and absenteeism. Third, it is to explore whether SNSs usage causally affects youth's study–work choice after leaving high school. In addition to SNSs usage in general, abnormal SNSs usage is further discussed.

The Longitudinal Study of Australian Children (LSAC) data are utilised. Lagged variable analysis is used to alleviate reverse causality. Instrumental variable approach and the Lewbel method are used to identify causality. Random effects panel data approach (without and with IVs) is additionally applied to increase efficiency and account for individual-specific effects. Random effects approach allowing for within and between effects is applied, enabling us to control for fixed effects. The primary instrument is a dummy indicating whether a youth more often communicates with close friend electronically or face-to-face.

Using SNSs leads to significantly higher probability of a teenager being late for school, skipping class and having trouble not following school rules. The effect is more consistent regarding abnormal SNSs usage, compared to SNSs usage in general. Additionally, SNSs usage decreases the probability of a youth studying after 18 years old, even after controlling for absenteeism.

The findings in this paper highlight the importance of preventing youth (e.g. via enabling children-safe mode or setting up maximum daily access time) from overusing SNSs.

With the transition to hybrid (mixing remote and face-to-face) learning during and after COVID-19, online interactions are becoming inevitable in students' learning. The findings in this paper indicate that usage, especially abnormal usage, of SNSs increases the probability of absenteeism call for attention from stakeholders including teachers, parents and youth themselves.

This paper provides the first causal and longitudinal evidence linking SNSs usage to absenteeism and youth labor outcomes.

In the process of school-to-work transition, the role of general education and vocational education and training (VET) remains quite central. Based on the human capital theory, we estimate whether investment in VET brings additional returns for workers across the age cohorts.

The focus of our study being the labour market in India, the data from the Periodic Labour Force Survey 2018–19, conducted by the National Statistical Office, has been used for analysis. We have applied the ordinary least square method with sample selection correction, the quasi-experimental technique of propensity score matching and heteroskedasticity based instrumental variable approach to estimate the returns with respect to no VET, formal VET and informal VET.

Our study shows that workers with formal VET earn higher wages than workers with no VET or informal VET. The study finds that workers with informal VET do not earn higher wages than workers with no VET. Moreover, from the age cohort analysis, we have deduced that wage advantage of workers with formal VET persists across all age cohorts and, in fact, accentuates with an increase in age.

We have estimated that VET being complemented with basic general education fetches higher returns in the labour market, especially when provided through formal channels. Moreover, to the best of our knowledge, in the case of developing countries where informal VET is widely provided, this is one of the first studies that captures the return to informal VET. Lastly, complementing the existing studies on the developed countries, we have estimated the returns to VET over the life cycle of the workers.

With asymmetric investments in exchange (i.e. sourcing) relationships, both sourcing firms and suppliers invest but one party invests more than the other. This paper aims to examine the associations between asymmetric (i.e. unequal) investments in exchange relationships and the tendency of the strategic supplier base to shirk as perceived by the sourcing firm, as well as the moderation effects of cross-functional information sharing within a sourcing firm on these associations.

The authors analyzed survey data from 500 US middle-market manufacturers via ordinary least squares (OLS) estimation. Besides appropriate controls, the authors also employed the heteroskedasticity-based instrumental variable approach to ensure that analytical inferences are not influenced by endogeneity.

On average, when a sourcing firm invests more than its strategic supplier base into their exchange relationships, the perceived tendency of the strategic supplier base to shirk decreases. This negative association is more pronounced when a sourcing firm facilitates cross-functional information sharing. Conversely, when the strategic supplier base invests more than the sourcing firm into their exchange relationships, the perceived tendency of the strategic supply base to shirk is not detected unless the sourcing firm facilitates cross-functional information sharing.

Prior research reveals that investments by a sourcing firm or by suppliers influence supplier shirking. This paper provides new evidence as to how and why asymmetric investments in exchange relationships relate to the perceived tendency of the strategic supplier base to shirk and new evidence as to how and why cross-functional information sharing safeguards against this tendency when investments in exchange relationships are unequal.

This study examines the importance of income income-shifting arrangements of US multinational corporations (MNCs) on future stock price crash risk.

This study employs a sample of 7,641 corporation-year observations over the 2005–2017 period and uses ordinary least squares regression analysis.

The authors find that the income-shifting arrangements of MNCs are positively and significantly associated with stock price crash risk after controlling for corporate tax avoidance and other known determinants of stock price crash risk in the regression model. This result is robust to alternative measures of stock price crash risk and income-shifting, and several endogeneity tests. The authors also observe that income-shifting arrangements increase stock price crash risk both directly and indirectly through the information opacity channel. Finally, in cross-sectional analyses, the authors find that the positive association between income-shifting and stock price crash risk is more pronounced for MNCs that use tax haven subsidiaries and have weak corporate governance mechanisms.

The authors provide new empirical evidence that MNCs will likely face significant capital market consequences regarding their income-shifting arrangements.

Although a large number of studies have examined the relationship between the physical work environment and employee performance, the relationship between employee well-being and facility management (FM) has received limited attention. The purpose of this paper is to explore the relationship between FM services and employee well-being in terms of job satisfaction, satisfaction with the workplace, job affect and engagement within the context of the job demands-resources (JD-R) model, distinguishing between soft FM services and hard FM services.

The analysis is based on the responses of 1,390 employees, who responded to all the relevant items used in this analysis. In addition to the linear estimations, the research uses an instrumental variable (IV) estimation, the Lewbel IV estimator (Lewbel, 2012), to establish a causal relationship between FM services and employee well-being.

The findings of this paper suggest that there is a positive relationship between the FM index and the four well-being proxies. In addition, the findings indicate that the effect of soft FM on employee well-being is generally weaker than the effect of hard FM, especially with regard to job affect and engagement.

The current research treats FM services as a resource instead of a cost and goes beyond the financial value of FM by providing a quantitative analysis on the added value of FM services in terms of employee well-being. Most importantly, this study incorporates FM services in the JD-R model and uses an alternative approach to linear regression and traditional IV regression to solve for endogeneity issues.

This paper aims to investigate how organization capital influences different forms of corporate risk. It also explores how the relationship between organization capital and risks varies in the cross-section of firms.

To test the hypothesis, this study employs the ordinary least squares (OLS) regression model using a large sample of the United States (US) data over the 1981–2019 period. It also uses an instrumental variable approach and an errors-in-variables panel regression approach to mitigate endogeneity problems.

The empirical results show that organization capital is positively related to both idiosyncratic risk and total risk but negatively related to systematic risk. The cross-sectional analysis shows that the positive relationship between organization capital and idiosyncratic risk is significantly more pronounced for the subsample of firms with high information asymmetry and human capital. Moreover, the negative relationship between organization capital and systematic risk is significantly more pronounced for firms with greater efficiency and firms facing higher industry- and economy-wide risks.

The findings have important implications for investors and policymakers. For example, since organization capital increases idiosyncratic risk and total risk but reduces systematic risk, investors should take organization capital into account in portfolio formation and risk management. Moreover, the findings lend support to the argument on the recognition of intangible assets in financial statements. In particular, the study suggests that standard-setting bodies should consider corporate reporting frameworks to incorporate the disclosure of intangible assets into financial statements, particularly given the recent surge of corporate intangible assets and their critical impact on corporate risks.

To the best of the authors' knowledge, this is the first study to adopt a large sample to provide systematic evidence on the relationship between organization capital and a wide range of risks at the firm level. The authors show that the effect of organization capital on firm risks differs remarkably depending on the kind of firm risk a particular risk measure captures. This study thus makes an original contribution to resolving competing views on the effect of organization capital on firm risks.

This paper examines the impact of export performance and scale economies on total factor productivity in Singapore's manufacturing sector. A panel data of total of ten major industries within its manufacturing sector are analysed over the period 1974‐1995. It was found that export growth and scale economies contributed significantly to the productivity growth of selected industries. In addition, the results also indicate that the foreign direct investment (FDI) intensive industries are the main contributors to productivity growth in the manufacturing industries in terms of export performance and economies of scale as compared to the non‐FDI intensive industries.

Introduction: Turkish cement industry, which sustains growth trend between the years 2015 and 2018, is the biggest cement producer of Europe besides the growth success. Production trend in cement industry reversed after the decrease in the value of Turkish Lira and increased inflation in 2018. The data of this industry, which contributes to Turkish economy directly and indirectly, have become one of the leading indicators.

Aim: From this point of view, 17 cement industry firms which are traded in Borsa İstanbul equity market continuously are examined in terms of their Earnings Before Interest, Taxes, Depreciation, and Amortization, Cash Conversion Cycle (CCC), Export Rate Ratio and Gross Sales. These variables are analyzed between the period 2013:Q1 and 2019:Q2.

Method: Independent variables in the models are Industry Production Index (IPI), CBRT Dollar/TL selling rate of exchange, Tangible Asset Ratio, Growth Rate, Financial Leverage Ratio, Current Ratio, Market-to-Book Ratio (MB), Price-to-Earnings Ratio (PE), and Return on Equity (ROE).

Findings: According to panel regression results, Dollar/TL exchange rate is the unique independent variable that affects four dependent variables. While Dollar/TL exchange rate negatively affects Earnings Before Interest and Taxes and Gross Sales, it positively affects CCC and Export Rate. MB ratio positively affects CCC. In contrast, IPI, Tangible Asset Ratio, and Financial Leverage Ratio negatively affect CCC. Export ratio is negatively affected both by IPI and PE ratio. While MB ratio negatively affects Gross Sales ratio, IPI, Tangible Asset Ratio and Growth Rate positively affect it.

This study empirically examines the nonlinear effects of mimicking peer firms' cash holdings on shareholder value, with consideration of macroeconomic conditions.

An instrumental variable approach for nonlinear models is estimated for a large sample of US firms over the period 1991–2019. This approach addresses the reflection problem in examining peer effects, whereby it is impossible to separate the individual's effects on the group, or vice versa, if both are simultaneously determined.

The authors find an inverted U-shaped association between shareholder value and mimicking intensity of peer firms' cash holdings. This result suggests that mimicking peer firms' cash holdings is subject to diminishing returns. It is more beneficial at lower levels of mimicking intensity but less so or suboptimal at higher levels. Further evidence indicates that this inverted U-shaped shareholder value-mimicking intensity nexus is asymmetric. Specifically, it is salient for decreases relative to increases in cash holdings and, more importantly, in good relative to bad macroeconomic states. The findings are robust to several concerns and have important implications for liquidity management policies.

The authors provide new empirical evidence of the nonlinear effects of mimicking peer firms' cash holdings on shareholder value, which varies with macroeconomic conditions.