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This paper investigates whether and how the financial services offered by an e-commerce platform can help budget-constrained small- and medium-sized suppliers improve their corporate social responsibility (CSR) performance.

The authors examine a supply chain in which a budget-constrained supplier engages in CSR, produces a finished product and sells it on the marketplace of an e-commerce platform. This platform offers financial services to the supplier, choosing among three types of financing models: target rate of return, credit limit and CSR-linked financing. Using a Stackelberg game approach, the authors can drive the equilibrium decisions under each financing model.

The results reveal that all three financing models help improve the supplier's CSR investment as long as consumer sensitivity toward CSR exists. Moreover, the last one leads to the highest profitability of the overall supply chain and each member.

The findings shed light on the role of platform financing and how to design the most appropriate financing model to improve CSR for supply chain managers.

The United States (US) sugar program protects domestic sugar farmers from unrestricted imports of heavily-subsidized global sugar. Sugar-using firms (SUFs) criticize that program for causing US sugar prices to be higher than world sugar prices. This study examines the financial performance of publicly traded SUFs to determine if they are performing at an economic disadvantage in terms of accounting profitability, risk and economic profitability compared to other industries.

Firm-level financial accounting and market data from 2010 to 2019 were utilized to construct financial metrics for publicly traded SUFs, agribusinesses and general US firms. These financial metrics were analyzed to determine how SUFs compare to their agribusiness peer group and general US companies. The comprehensive financial analysis in this study covers: (1) accounting profit rates, (2) drivers of profitability, (3) economic profit rates, (4) trend analysis and (5) peer comparisons. Quantile regression analysis and Wilcoxon–Mann–Whitney statistics are employed for statistical comparisons.

Regarding various profitability and risk measures, SUFs outperform their agribusiness peers and the general benchmark of all US firms in terms of accounting profit rates, risk levels and economic profit rates. Furthermore, compared to other US industries using the 17 French and Fama classifications, SUFs have the highest return on investment and economic profit rate―measured by the Economic Value Added® margin―and the second-lowest opportunity cost of capital, measured by the weighted average cost of capital.

This study finds nothing to suggest that the US sugar program hinders the financial success of SUFs, contrary to recent claims by sugar-using firms. Notably in this analysis is the evaluation of economic profit rates and a series of robustness techniques.

The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

The purpose of this study is to analyze the relationship between citizen participation and the level of trust in government’s decisions and policies; as well as examining the impact of disclosure of information on the level of citizens’ engagement with governments’ projects. In addition, testing the real motives behind Egyptian citizens’ participation in financing national projects. The study is applied to the “New Suez Canal,” which was finished in only one year opposing the three years implementation period suggested by some studies.

The researcher depended on secondary and primary data as well in working on this paper. She used secondary data gathered from scholars and from domestic and international institutions. Then, she conducted a field study and collected data through distributing 384 Likert Scale questionnaires containing 34 self-administered among respondents to test the following: 1. Citizens perceptions regarding the level of trust in government’s decisions and policies. 2. The impact of citizens’ trust on their willingness to participate in governments’ projects. 3. Is ‘public service motivation’ (PSM) behind citizens’ willingness of participating in national projects. 4. Is the ‘high expected profit of Suez Canal Investment Certificates’ behind citizens participation in national projects.

H1 and H2 have been accepted as trust, transparency and citizen participation proved to be important pillars of building a participatory government. Moreover, citizens’ participation in national projects encouraged national and international enterprises to invest in the canal provision. H3 and H4 are accepted and the statistical study revealed dual contradicting results regarding the motive of citizens’ financial participation in the New Suez Canal project. The justification for the contradiction is that right after the 2011 up-rise, Egyptian citizens were overwhelmed with patriot emotions and feelings pushing them to participate in national projects. At the same time this patriot drive was moderated by the “performance-based rewards and citizens” self-interests’ pushed by the Egyptian government (offering a high-interest rate for Suez Canal Certificates at that time). Citizens might be motivated to participate in national projects triggered by many factors: public service drive – patriotism or self-interest.

The study needs further deeper investigation and empirical pieces of evidence to answer the following questions: would different participatory actions result differently in other circumstances? Do individuals’ levels of PSM vary over time? Besides, the researcher needs to find ways to test PSM against various motives such as self-interest, which needs to be confirmed empirically.

The author came up with important recommendations for central government and decision-makers in Egypt and is based upon the study’s statistical results. The most important recommendations were: central government and decision-makers should frame a policy designed to promote citizens’ participation in decision-making drawing on the guidelines for civil participation in political decision-making. Decision-makers in the central government should work local and regional authorities to update and improve local and regional regulations concerning the participation of citizens in local public life and promote a culture of democratic participation shared by communities and local authorities. Performance-based rewards (high-interest rate) are moderating the citizens’ public service motivation (PSM – patriot sense) and citizens may be motivated by different factors such as public service drive – patriotism or self-interest.

The study is tackling an important issue, which is civil participation in political decision-making. It is also discussing promoting cultural awareness regarding the importance of democratic participation shared by communities and local authorities. The study came up with certain findings proving Egyptian civil society’s willingness in participating with the government in national projects; believing in its socio-economic benefits.

Finally, the study is of value, as it could be considered a pilot study representing the outcomes of citizen participation in national projects; in addition, it can be considered as a road map to policymakers. Moreover, the findings provide a set of recommendations and policies for governments and decision-makers to undertake tangible actions to accelerate citizen participation in further projects and decisions and be able to establish a democratic system in developing countries.

This study analyzes small-sized asset owners’ optimal choice problems in selecting an outsourced chief investment officer (OCIO). While large-sized asset owners can select OCIOs through procurement auctions, it is difficult for small-sized asset owners to use this method. Instead, they access OCIO services by participating in an investment pool or utilizing OCIO funds. In this study, the authors compare the two OCIO selection methods. The authors construct an agent-based model for OCIO selection to reflect the heterogeneity in production efficiency and preferences. The results of this study imply that when the market has enough investment pools, the utility of all small-sized asset owners increases. To enhance the growth in the OCIO market, the investment pool should represent the preferences of small-sized asset owners and enable individual owners to find an appropriate OCIO.

The purpose of this study is to test the determinant of financial report quality and its consequences to the company values.

This research is using a quantitative approach and testing a theory by formulating some hypotheses. The sample of this study is 85 go public companies listed in the Indonesia Stock Exchange, for a 5-year observation period from 2016 to 2020. Hence, it has a total of 425 observations. Data were analyzed using path analysis.

The results found that innate factors from financial reporting quality (FRQ) consists of dynamic factors (operation cycle and sales volatility) as well as static factors (firm’s size, FS). These factors help to achieve FRQ and are able to provide a positive response to the market. On the other hand, static factors (firm’s age, FA) and institution risk factors (leverage) are not able to produce FRQ. Thus, it cannot be considered as an economic decision maker for an investor.

Research implications include theoretical and practical implications. Theoretical implications prove that the valuation of clean surplus theory, which shows the market value of the company, is reflected in the components of the financial statements. This study also uses more than one quality of financial reporting. The practical implication of the research is that the research results are expected to provide information for the company’s management, to fulfill quality financial reporting and so that the market or investors will respond positively to these conditions. In addition, quality financial reporting information provides benefits for investors and capital market analysts (consisting of investors, brokers and market securities analysts) in determining investment decisions. The Financial Services Authority is also able to improve the implementation of corporate governance practices in Indonesia, through reform of the framework supervision of the financial services sector.

This research examines the determinants of FRQ and its consequences on firm’s value (FV). Innate factors proxies from FRQ include dynamic factors (operation cycle and sales volatility), static factors (FS and FA) and institution risk factors (leverage). A follow-up study on the value of the company because it shows the magnitude of the market response (financial statement users) on the quality of financial reporting, which is reflected in FV, the originality of this research is that the object of research is carried out in developing countries, specifically in Indonesia, because most of the previous research was carried out in developed countries.

While the value of human capital for technological innovation is well acknowledged, literature on the role of vocational training in corporate innovation is notably scarce. The purpose of this study is to assess the effect of government support for small and medium-sized enterprise (SME) competencies on Korean firms’ innovation. The author investigates SMEs’ patent applications (supported by the government to varying degrees) while accounting for firms’ market position, ownership and management structure, as well as prior changes in firms’ technologies, products, processes and other characteristics. Alternative hypotheses about management motivation – the “lazy manager”, “career concerns” and “special East Asian institutional constraints” hypotheses – are also evaluated.

Censored and count data analysis methods are used on a panel of 595 Korean firms covering 2005–2015 from the Korean Human Capital Corporate Survey, Intellectual Property Office and National Investment Commission. A regression discontinuity estimator accounts for potential endogeneity because of support for vocational training at firms.

Firms receiving training support are more innovative than firms without support, but latent effects may play a role. The regression-discontinuity model suggests that firms that succeeded only marginally in obtaining support had higher innovative output than non-recipients near the eligibility threshold.

The findings of this study establish that government support had the intended effect on SMEs’ technological capacity. This cannot be discounted as a simple crowding-out effect. The author also establishes that management–ownership separation within firms was conducive to innovation, that product competition had an inverse U-shaped effect and that management–ownership separation had a substitutable relationship with competition in overcoming managers’ effort avoidance. The findings support the “lazy manager” hypothesis over the “career concerns” and the “special East Asian institutional constraints” hypotheses.

This study examines the relationship between demand forecasting error and retail inventory management in an uncertain supplier yield context. Replenishment is segmented into off-season and peak-season, with the former characterized by longer lead times and higher supply uncertainty. In contrast, the latter incurs higher acquisition costs but ensures certain supply, with the retailer's purchase volume aligning with the acquired volume. Retailers can replenish in both phases, receiving goods before the sales season. This paper focuses on the impact of the retailer's demand forecasting bias on their sales period profits for both phases.

This study adopts a data-driven research approach by drawing inspiration from real data provided by a cooperating enterprise to address research problems. Mathematical modeling is employed to solve the problems, and the resulting optimal strategies are tested and validated in real-world scenarios. Furthermore, the applicability of the optimal strategies is enhanced by incorporating numerical simulations under other general distributions.

The study's findings reveal that a greater disparity between predicted and actual demand distributions can significantly reduce the profits that a retailer-supplier system can earn, with the optimal purchase volume also being affected. Moreover, the paper shows that the mean of the forecasting error has a more substantial impact on system revenue than the variance of the forecasting error. Specifically, the larger the absolute difference between the predicted and actual means, the lower the system revenue. As a result, managers should focus on improving the quality of demand forecasting, especially the accuracy of mean forecasting, when making replenishment decisions.

This study established a two-stage inventory optimization model that simultaneously considers random yield and demand forecast quality, and provides explicit expressions for optimal strategies under two specific demand distributions. Furthermore, the authors focused on how forecast error affects the optimal inventory strategy and obtained interesting properties of the optimal solution. In particular, the property that the optimal procurement quantity no longer changes with increasing forecast error under certain conditions is noteworthy, and has not been previously noted by scholars. Therefore, the study fills a gap in the literature.

This study established a two-stage inventory optimization model that simultaneously considers random yield and demand forecast quality, and provides explicit expressions for optimal strategies under two specific demand distributions. Furthermore, the authors focused on how forecast error affects the optimal inventory strategy and obtained interesting properties of the optimal solution. In particular, the property that the optimal procurement quantity no longer changes with increasing forecast error under certain conditions is noteworthy, and has not been previously noted by scholars. Therefore, the study fills a gap in the literature.

While the main purpose of reporting – e.g. reporting for taxes – is to gauge the economic state of a company, the fact that reporting is done at pre-determined dates distorts the reporting results. For example, to create a larger impression of their productivity, companies fire temporary workers before the reporting date and re-hire then right away. The purpose of this study is to decide how to avoid such distortion.

This study aims to come up with a solution which is applicable for all possible reasonable optimality criteria. Thus, a general formalism for describing and analyzing all such criteria is used.

This study shows that most distortion problems will disappear if the fixed pre-determined reporting dates are replaced with individualized random reporting dates. This study also shows that for all reasonable optimality criteria, the optimal way to assign reporting dates is to do it uniformly.

This study shows that for all reasonable optimality criteria, the optimal way to assign reporting dates is to do it uniformly.

It is found that the individualized random tax reporting dates would be beneficial for economy.

It is found that the individualized random tax reporting dates would be beneficial for society as a whole.

This study proposes a new idea of replacing the fixed pre-determining reporting dates with randomized ones. On the informal level, this idea may have been proposed earlier, but what is completely new is our analysis of which randomization of reporting dates is the best for economy: it turns out that under all reasonable optimality criteria, uniform randomization works the best.

Brazil uses the dollar as a vehicle currency to invoice its exports. This fact produces a tendency toward equalizing the prices of products in dollars in the international market and reducing the ability of firms to practice pricing-to-market (PTM). This study aims to evaluate the hypothesis by estimating error correction models in panel data, obtaining estimates of PTM for 25 manufacturing products exported by Brazil between 2010 and 2020.

This study uses the correlated common effect estimator proposed by Pesaran (2006) and Chudik and Pesaran (2015b) to estimate the PTM coefficients.

Results of this study indicate that exporters practice local-currency pricing stability for dollar prices. This study obtains that Brazilian exporters tend to stabilize their dollar price for exports, reducing heterogeneity between destination markets. The results are in agreement with the hypothesis of the prevalence of the coalescing effect of Goldberg and Tille (2008) and lower sensitivity of the markup adjustment to the specific market, as pointed out by Corsetti et al. (2018). The pricing of Brazilian exports in dollars reflects a profit maximization strategy that considers an international price system based on global demand for products.

In addition to analyzing the dollar role in the pricing of Brazilian exports through the triangular decomposition, this study also shows the importance of examining the cross-section dependence of errors, considering the heterogeneous cointegration in export pricing models and producing PTM estimates for short-term and long-term.