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This study examines the importance of governance quality of local government in small businesses' future revenue growth forecasting accuracy. Forecasting errors are due to either overestimation or under-estimation. When local governance quality improves, transaction costs are eliminated, boosting firms' actual performance up to the level forecast, thereby reducing overestimation. Also, when local governance quality improves, institutional trust (trust in government) and generalized trust (trust in strangers) improve, lifting the expectation of future performance to the actual level, thereby reducing under-estimation. We investigate these two mechanisms using a set of more than 250,000 small businesses in Vietnam using an instrumental variable approach to control for potential endogeneity. It is found that governance quality enhances forecasting accuracy by reducing under-estimation forecasting errors but, interestingly, without affecting overestimation errors. This paper is one of the first that links governance quality to business forecasting, indicating that local authorities can help local businesses make efficient resource preparation by improving their governance quality. [ABSTRACT FROM AUTHOR]

This article examines how collective bargaining through unions and workplace codetermination through works councils relate to labor market imperfections and how labor market imperfections relate to employer wage premia. Based on representative German plant data for the years 1999–2016, the authors document that 70% of employers pay wages below the marginal revenue product of labor and 30% pay wages above that level. Findings further show that the prevalence of wage markdowns is significantly smaller when organized labor is present, and that the ratio of wages to the marginal revenue product of labor is significantly larger. Finally, the authors document a close link between labor market imperfections and mean employer wage premia, that is, wage differences between employers corrected for worker sorting. [ABSTRACT FROM AUTHOR]

Despite scholarly critiques, use of the Net Promoter Score (NPS®) continues to grow in popularity among firms. Even researchers who criticize NPS recognize its potential for predicting desirable customer behaviors and revenue growth. However, a firm's goal in measuring NPS is not to simply assess it, but to be empowered to improve that score. This goal begs an important question: Does a "net promoter" study provide the insights that a firm needs to improve their NPS? The critical, but untested, assumption in NPS use is that the insights gained from open-ended customer comments in a net promoter study can be used to set improvement priorities that will increase future NPS likely-to-recommend ratings. Through two distinct studies, one in a business-to-business context with auto dealership decision-makers and one in a business-to-consumer context with vehicle repair customers, we investigate this assumption. Our results reveal that the critical untested assumption of a net promoter study is questionable. The convergence is low to moderate between open-ended priorities from a net promoter study and predictors of the standard 'likely-to-recommend' NPS question. We also find that the convergence between customers' open-ended priorities and their stated and derived priorities from closed-ended responses is higher for NPS detractors and passives than promoters, but it is still only moderate. The strength of this convergence of priorities is also impacted by the wording of the questions used to elicit customers' open-ended priorities. Firms using open-ended comments to set priorities should ask customers, especially detractors, to identify areas for improvement. In addition, they should supplement open-ended customer feedback with closed-ended questions to get customers' performance ratings in relation to their specific needs. [ABSTRACT FROM AUTHOR]

We demonstrate that investors in initial public offering (IPO) firms value revenues and that the number of U.S. Securities and Exchange Commission (SEC) revenue recognition comment letters issued on the S-1 registration statement are positively associated with reported revenues. We also find that IPO managers report revenues opportunistically in the fiscal year just prior to the offer. In additional analysis, we find that discretionary revenues are associated with significantly higher first day IPO stock returns but significantly lower 1 year stock returns. Our results are consistent with the incentives of managers to report revenues opportunistically outweighing the higher monitoring and regulatory scrutiny pre-IPO. [ABSTRACT FROM AUTHOR]

Since we wrote "Crowdsourcing as a solution to distant search" a decade ago, enthusiasm for crowdsourcing's capacity to produce remarkable solutions to some problems has continued to grow, and profiting from crowdsourced solutions has become a strategic goal for more and more firms. Crowdsourcing research has progressed impressively, with more progress made in researching the phenomenon than in theorizing about it. We are deeply honored by the 2022 Decade Award. In this manuscript, we reflect on the factors that led to this progress in crowdsourcing research, and how the theoretical insights from our paper––e.g., markets in the hierarchies-markets dichotomy are made up of markets with ex ante contracts and crowdsourcing (markets with no ex ante contracts)––may have influenced that progress. Also, because profits have become the ultimate goal of a large number of the seekers of solutions through crowdsourcing, we present an outline of a framework for exploring the impact of crowdsourcing on a seeker's profitability. The framework builds on insights from the paper and new constructs in crowdsourcing such as artificial intelligence (AI), the crowdsourcing process, revenue models, complementary assets, and organizing to minimize crowdsourcing disadvantages that we have added. We conclude with suggestions for future research. [ABSTRACT FROM AUTHOR]

A study involving unobtrusive observations of salespeople's behaviors in sales settings surfaces a novel insight: a salesperson's selling effectiveness with a customer may be enhanced by the way the salesperson interacts with secondary entities, such as objects and people outside the core salesperson–customer dyad. Based on this insight and social interest theory, this research introduces the construct of secondary selling. It refers to a salesperson interacting with secondary entities in a manner that indicates to a focal customer that the salesperson values these entities. The pattern of results from four follow-on studies using multiple methods and data sources indicates that, in general, secondary selling reduces a focal customer's reactance to a salesperson's recommendations, which leads to higher sales revenue and customer satisfaction. Customers with high persuasion knowledge (compared with customers with lower persuasion knowledge) are more favorably influenced by secondary selling involving company property but less favorably influenced by secondary selling involving nonfocal customers. In addition to reducing a focal customer's reactance to sales recommendations, secondary selling also helps primary selling (targeted at a focal customer) reduce the customer's reactance to a greater extent. Overall, the results provide evidence of the pervasive and influential role of secondary selling in boosting sales revenue and customer satisfaction in sales exchanges. [ABSTRACT FROM AUTHOR]

Past empirical studies demonstrate a positive connection between revenue concentration and organizational efficiency. This supports the idea that concentrating revenue helps minimize transaction costs of nonprofit organizations, resulting in greater efficiency. However, this finding contradicts the belief that revenue concentration increases the risk of revenue volatility, leading to service delivery disruptions and reduced efficiency in nonprofits. Moreover, these studies have used an efficiency measure that might not be suitable. To address this, our study examines the relationship between revenue concentration and organizational efficiency using a more appropriate measure. Analyzing data from Habitat for Humanity, we discover a U-shaped relationship: nonprofits are most efficient when fully diverse or fully concentrated in revenue. These findings contribute to the ongoing debate on nonprofit revenue diversification, with significant implications for nonprofits. They also highlight the importance of using more appropriate efficiency measures in future scholarly research. [ABSTRACT FROM AUTHOR]

Summary: This paper estimates the effect of exposure to terrorist violence on education. Since terrorists may choose targets endogenously, we construct a set of novel instruments. To that end, we leverage exogenous variation from a local terrorist group's revenues and its affiliation with al‐Qaeda. Across several Kenyan datasets, we find that attacks suppress school enrolment more than predicted by difference‐in‐differences‐type estimators. This indicates that terrorists target areas experiencing unobserved, positive shocks. Evidence suggests fears and concerns as mechanisms of impact, rather than educational supply. [ABSTRACT FROM AUTHOR]

This case asks graduate and undergraduate accounting students to apply the current U.S. GAAP revenue recognition standard (ASC Topic 606) that became effective for public companies in 2018 and nonpublic companies in 2019. Students should grasp the new rules and understand how the nuances of manufacturing contracts (e.g., number of performance obligations, transaction price allocation, shipment options, product customization, and contract cancelation and compensation) can affect the recording and timing (over time or point in time) of revenue recognition. This case also encourages students to independently research the technical aspects of U.S. GAAP regarding the accounting treatment of these contracts. [ABSTRACT FROM AUTHOR]

Students reasonably assume that financial reporting provides useful insights into financial performance. Alaska Gold is an instructional case that is based on a disguised real-world company, where reported GAAP-based financial statements obfuscate the firm's underlying economics. The Company mined gold for its first two years of operations but reported zero gold revenue for each of these years because it did not sell any. In the third year, the Company sold all of the gold mined to date—and reported gold revenue and related cost of gold sold. Students use publicly available data to prepare an alternative analysis that unveils the economics of what really happened to Alaska Gold in each of the three years 2017–2019. The situation helps students appreciate that accounting rules, business models, managerial discretion, and economic context are important to understanding and evaluating financial performance. [ABSTRACT FROM AUTHOR]

The emergence of a new generation of applications such as the Internet of Things, Artificial Intelligence, and 5G has brought fog computing as cloud development toward the edge network. It is done by adding an extra layer of resources to meet low latency, high performance, mobility, and interoperability challenges. The development of fog markets and new beneficial business paradigms such as fog services considerably affect the future of fogonomics (which is defined as the economics of fog computing). Thus, it is a challenging issue to design a market-oriented model to deal with the economics-based resource management in fog computing, which adjusts the resource supply of Fog Resource Providers (FRPs) and the demands of User Services (USs) based on users' requirements while satisfying all parties' utilities. This paper proposes the Fog-Marketing scheme consisting of a Resource Propagation Component (RPC) and a Contract-aware Market Selection Component (CMSC) for resource provisioning in multi-tier fog computing. The RPC is deployed in each fog node to perform hierarchical resource propagation of FRPs to auction-based Fog Decentralized Markets (FDMs) close to USs to increase revenue opportunities, and embedded CMSC in the user agent applies a matching strategy to assign USs and FDMs aims to promote USs' utility. The simulation results under extensive experiments confirmed that the proposed scheme succeeded in reducing the Round-Trip-Time, increasing the revenue of FRPs, and improving the utility of USs compared to existing models. [ABSTRACT FROM AUTHOR]

Purpose: This teaching case examines challenges in developing technical communication students as organizational leaders managing content strategy through analysis of a graduate course incorporating a client project. Method: Forty-five graduate students enrolled in a content strategy course conducted content audits and assessments for six clients. Their final strategic roadmap reports were analyzed to determine their aptitude for aligning content strategies with business goals. Results: While students adeptly identified technical content quality issues, the majority struggled to connect these to business implications. A minority of students explicitly linked their strategic recommendations to business metrics, such as revenue growth. This outcome suggests a deficiency in achieving the course's intent to instill a businessoriented approach to content strategy. Conclusion: The case identifies several challenges, including client maturity levels, the intricacy of business contexts, and the ambitious scope of the course's objectives. Proposed enhancements involve restructuring client interaction, integrating more industry expertise, focusing the project's reporting component, and refining the course's aims. These measures aim to strengthen the strategic business thinking and leadership capabilities of technical communication students. [ABSTRACT FROM AUTHOR]

As a production division in a government-owned shipyard, the Commercial Ship Division has a direct workforce of 28% of PT PAL Indonesia's workforce. The revenue generated annually reaches 46% of the company's total revenue, with an increase in revenue reaching 50% each year. With the large number of direct labor, revenue targets and the complexity of the ship production process, workload analysis needs to be done to measure the workload of direct labor and the number of direct labor needed. Workload analysis is carried out using the Full Time Equivalent (FTE) method, where the FTE Index resulting from the calculation will be grouped into three categories namely underload, normal and overload. From the calculation of the FTE index of direct labor in the Commercial Ship Division, there are 5 people in the underload category, 27 people in the normal category and 134 people in the overload category. From the results of the calculation of direct labor requirements using the Full Time Equivalent method as well as optimization and efficiency of labor, the number of direct labor requirements for the Commercial Ship Division is 315 people. [ABSTRACT FROM AUTHOR]

This study investigates the determinants of mobile customer relationship management (mCRM) adoption, and its impact on firm performance measured as sales revenue performance. Data collected from business enterprises in Kenya is analyzed using an instrumental variables endogenous treatment effects model. We find that information technology infrastructure, firm size, and competition are positively associated with the adoption of mCRM. We also find that mCRM has a positive and significant impact on sales revenue performance. We conclude that government investment in information and communications technology infrastructure facilitating the mCRM interface may play a critical role in enhancing firm performance. [ABSTRACT FROM AUTHOR]

Social media has become an outlet for extremists to fundraise and organize. While governments deliberate on how to regulate, some social media companies have removed creators of offensive content —deplatforming. I estimate the effects of deplatforming on revenue and viewership, using variation in the timing of removals across two video-streaming companies — YouTube, and its far-right competitor, Bitchute. Being deplatformed on Youtube results in a 30% increase in weekly Bitcoin revenue and a 50% increase in viewership on Bitchute. This increase in Bitchute activity is less than that on YouTube, meaning that deplatforming works in decreasing a content creator's overall views and revenue. [ABSTRACT FROM AUTHOR]

We assess the business provisions of the 2017 Tax Cuts and Jobs Act, the biggest corporate tax cut in US history. We draw five lessons. First, corporate tax revenue fell by 40 percent due to the lower rate and more generous expensing. Second, firms with larger declines in their effective tax wedge increased investment relatively more. In aggregate, we suggest a loose consensus from the literature that total tangible corporate investment increased by 11 percent. Third, the business tax provisions increased economic growth and wages by less than advertised by the Act's proponents, with long-run GDP higher by less than 1 percent and labor income by less than $1,000 per employee. Fourth, provisions that increase foreign investment by US-based multinationals also boost their domestic operations. Fifth, some of the expired and expiring provisions, such as accelerated depreciation, generate more investment per dollar of tax revenue than others. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to validate the theoretical finding that digital MNEs avoid physical presence norms of permanent establishment and royalty characterization rules for business and royalty taxation, respectively, to escape tax incidence in the market economy, using information, communication and technology features and transfer pricing (TP) manipulations. Design/methodology/approach: Multiple case studies of MNEs from technology sector, based on judicial decisions in 141 cases, over taxability of profits earned from Indian economic activities. Additional in-depth case study of the Uber Group to study the tax avoidance structures under platform economy, by routing of Indian profits through The Netherlands, a tax haven. Findings: The study finds a significant number of digital MNEs earning profits from India and avoiding tax by defying physical presence and royalty characterization. In majority of the cases, demand-side business activities are discharged through incorporating and remunerating affiliates at cost plus low markup, thus avoiding tax incidence, using TP manipulations under the arm's length principle applied by governments for benchmarking the intragroup transactions of the MNEs. Research limitations/implications: The research findings validate the view that digital features promote tax avoidance in the market economy. Originality/value: The originality of the study lies in the validation of profit shifting through digital features from the developing market economy and portending that digital MNEs defy physical presence to avoid business taxation through TP manipulations. [ABSTRACT FROM AUTHOR]

Problem definition: Product service plays a crucial role for brands to retain customers and spur revenue growth. It is, however, often outsourced to a third-party provider, driven by cost savings and the ability to focus on core businesses. Although there is a large body of literature studying service outsourcing, the impact of service environment uncertainty (i.e., changing customer needs and shifting resource requirements) has received sparse attention in the past but is becoming a major concern because of increased market turbulence. This research explores how environment uncertainty in service provision influences a brand's intent to outsource, and, if the brand decides to outsource, how it can retain the potential cost advantages offered by a third-party provider. Methodology/results: This research develops a normative model to explore key drivers that impact service outsourcing outcomes under environment uncertainty and partial observability. We find that environment uncertainty can accelerate a brand's propensity to outsource, and a brand typically benefits from outsourcing initially. Yet, we show that such benefits can dissipate over time because of partial observability. Monitoring efforts help to mitigate the adverse impact of environment uncertainty and partial observability, but cannot attain anticipated outsourcing benefits unless monitoring is costless. In contrast, nudging service providers to self-report the cost of resources is effective even if the monitoring cost is high. Managerial implications: Brands should carefully consider environment uncertainty, partial observability, and monitoring ability when deciding whether to outsource product services to third-party providers. A heuristic monitoring policy can be effective when the monitoring cost is very high or very low but can perform poorly when the monitoring cost is in the intermediate range. Thus, outsourcing is more attractive when environment uncertainty is significant, but the value of outsourcing can only be realized when (a) partial observability is insignificant, (b) monitoring is inexpensive, or (c) provider self-reporting can be nudged. If none of the conditions hold, then the brand can suffer significant losses from the anticipated benefits of product service outsourcing. Funding: This research is partially supported by the first author's 2022 Dean's Excellence Summer Research Grant from W. P. Carey School of Business, Arizona State University. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0222. [ABSTRACT FROM AUTHOR]

Selling fixed assets when the current operating income is decreasing is essential for managing real earnings among companies. Therefore, this study aimed to design a model for realizing tangible fixed asset sales revenue and investments to address the real earning in the Tehran Stock Exchange. This inductive and correlational-analytical study was conducted on 138 companies listed on the Tehran Stock Exchange from 2010 to 2018, of which 1242 samples were selected using the systematic elimination method. First, the model of Gunny (49) and the proposed model were tested after passing the necessary assumptions and in a statistical sample, and the proposed model showed a better fit. In the second step, the remaining values of the two models were tested as real earning management with several other variables in a new model. The results showed both models’ reasonable explanatory power and a weak relationship with some variables. [ABSTRACT FROM AUTHOR]

The implementation of ASC 606 significantly changed revenue recognition practices for many firms in the capital market by increasing the level of discretion required to record revenue amounts. I examine the impact of this increase in discretion on revenue manipulation around external targets. I find that firms near analyst revenue targets have increased levels of discretionary revenues under ASC 606 relative to their peers, indicating increased revenue manipulation. Further analysis reveals that these increased levels of discretionary revenues are concentrated in firms characterized as having increased opportunity or incentive to use ASC 606 opportunistically to manipulate revenues upwards. Specifically, firms with more complex revenue operations and firms in earlier life cycles are associated with increased discretionary revenues under ASC 606. I also provide preliminary evidence of revenue manipulation varying systematically with industry characteristics. This paper is one of the first to provide evidence of capital market consequences stemming from ASC 606, while also highlighting the impact of firm characteristics on the choice to manage revenues. [ABSTRACT FROM AUTHOR]

Although theoretical studies suggest that customers may have an impact on a supplier firm's accounting practices, empirical evidence remains limited and inconclusive. We posit that geographic clustering increases the likelihood of communication between customers and that managers who perceive this likelihood will make more disciplined revenue reporting decisions. Using major customer data from China, we find that firms with more geographically clustered customers report less absolute discretionary revenue. This result is more pronounced when the supplier's customers are more likely to communicate with each other, when their demand for information is stronger, when supplier-customer information asymmetry is more severe, and when the supplier has less bargaining power. The main results survive after addressing endogeneity concerns and a serial of other robustness tests. Our findings offer insight into how the relationship between customers relates to earnings quality and we extend the literature on corporate geographic characteristics. [ABSTRACT FROM AUTHOR]

E-commerce is a boom in the modern business. E-commerce (electronic commerce) is the activity of electronically buying or selling products on online services or over the Internet. E-commerce is one of the most dynamic and important sectors of the economy as well as one of the main factors leading to greater competitiveness. The development of E-commerce is driven by rapidly expanding Internet access, but also by growing mobility and popularity of portable devices, via which customers order goods and services at a convenient time and place more and more frequently. The strength of a business is determined by how well it can manage to provide its products and services at the right price, time, and quality. In today's fierce competitive world, E-commerce businesses are often up against their peers from different geographical regions. It makes perfect sense for a company to expand its operations geographically, which would allow them the advantages of quickly reaching out to more customers and building good word of mouth for the brand. But, it also give rise to the risks like additional costs associated with logistics, longer delivery time than expected, problems with adjusting the inventory levels to match customer needs at each location, etc. That's why it makes sense to think about Return to Origin (RTO) before calculating revenue and profits. So, this paper is on impact of RTO on E-commerce business and it also discussed preliminary findings of research undertaken with the Indian ecommerce company. [ABSTRACT FROM AUTHOR]

Purpose: While much of the literature testing for shirking by professional athletes have used performance metrics, some works have quantified shirking in dollar terms by comparing salary to estimated marginal revenue product (MRP). However, Ordinary Least Squares (OLS) approaches to measuring shirking by comparing salary to MRP have an endogeneity problem, as salary and contract length are determined simultaneously. We test for shirking in Major League Baseball (MLB) using an MRP approach, addressing this potential endogeneity. Design/methodology/approach: This paper uses instrumental variables regression to address potential endogeneity using MLB season-level player and team data from 2010 to 2017. Findings: Using OLS regression, the impact of an additional year of guaranteed contract on shirking is estimated at approximately $1m in 2010 US dollars, and the impact of having a long-term contract is estimated at $5m, estimates comparable to those in the literature. Using instrumental variables regression, these impacts increase to $1.6m and over $9m in 2010 dollars. Practical implications: Given large, causal shirking estimates, profit maximizing sports organizations should take caution when negotiating long-term contracts. These findings also have important implications for other labor market settings where workers feel job security. Originality/value: To our knowledge, this is the first work testing for shirking in sports using an MRP approach which uses instrumental variables regression to address potential endogeneity. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Small Business & Entrepreneurship is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper studies research and development (R &D) for product innovation of firms faced with "product life cycles." We represent the concept of product life cycles with bounded revenue and profit functions and describe R &D for product innovation as an activity to control the "birth rate of a new product" (i.e., the probability of product innovation). We then derive the optimal level of R &D, corresponding to the optimal birth rate of a new product, and show that the growth rate of the firm's expected total revenue converges to the optimal birth rate of a new product in the long run. [ABSTRACT FROM AUTHOR]

Despite global efforts to harmonize international trade statistics, our understanding of digital trade and its implications remains limited. Here, we introduce a method to estimate bilateral exports and imports for dozens of sectors starting from the corporate revenue data of large digital firms. This method allows us to provide estimates for digitally ordered and delivered trade involving digital goods (e.g. video games), productized services (e.g. digital advertising), and digital intermediation fees (e.g. hotel rental), which together we call digital products. We use these estimates to study five key aspects of digital trade. We find that, compared to trade in physical goods, digital product exports are more spatially concentrated, have been growing faster, and can offset trade balance estimates, like the United States trade deficit on physical goods. We also find that countries that have decoupled economic growth from greenhouse gas emissions tend to have larger digital exports and that digital exports contribute positively to the complexity of economies. This method, dataset, and findings provide a new lens to understand the impact of international trade in digital products. This study introduces a method to quantify trade in digital products, like cloud computing and mobile games. It finds that this trade grows rapidly, may impact trade balances, support economic decoupling, and enhance economic complexity measures. [ABSTRACT FROM AUTHOR]

Customer loyalty continues to be a crucial factor for retail banks in maintaining market share, increasing revenue and profits, and reducing costs in the highly competitive business landscape of today. They consistently strive for innovation to maintain a competitive edge, introducing novel experiences and heightened satisfaction to customers, thereby enhancing customer loyalty. This study aims to examine the effect of service innovation on customer satisfaction and loyalty in the Vietnamese banking sector. The research investigates banking service innovation from three angles: novel service concept, novel service procedure, and novel technological distribution system. To confirm the relationship between concepts and complete the survey questionnaire, qualitative research techniques are employed. Simultaneously, a quantitative research technique (structural equation modeling—SEM) is used to assess the relationship between concepts. The study surveyed 398 clients of Vietnamese retail banks. All dimensions of service innovation, including novel service concept, novel service procedure, and novel technological distribution system, have positive effects on customer satisfaction and loyalty. Customer satisfaction also has a substantial effect on customer loyalty. Finally, it then draws some conclusions and makes some recommendations to retail banks to improve both customer satisfaction and customer loyalty via enhancing service innovation. [ABSTRACT FROM AUTHOR]

The effect of nonprofit commercialization, the increased reliance on revenues from commercial activities such as program and service fees, is one of the most significant topics in nonprofit finance studies. Commercialization can jeopardize nonprofits' efforts to secure financial sustainability as donors become reluctant to contribute to highly commercialized nonprofits. This study examines the effect of thematic and episodic framing in acquiring support on nonprofit commercialization with an online survey experiment. The findings reveal that both thematic and episodic framings increase willingness to donate and volunteer, and combining both framings is more effective than using a single framing, suggesting that nonprofits can benefit from message framing in persuading donors and stakeholders of nonprofit commercialization. [ABSTRACT FROM AUTHOR]

Purpose: This study provides a bibliometric analysis of bank efficiency and competition over the past years (from 1993 to 2022) to (1) discover the past and current state of knowledge on bank competition and efficiency, (2) identify leading and authoritative journals and scholars who made significant contributions to the distribution of knowledge and impact, (3) identify nations that made a significant contribution and impact to the literature and (4) identify the structure of collaboration that exists between scholars in the areas of bank competition and efficiency and key thematic areas. Design/methodology/approach: A total number of 868 documents made up of articles, reviews, book chapters, book and conference papers from the Scopus database were gathered. This study used a bibliometric analytic approach. Findings: The number of documents on bank competitiveness and efficiency has increased significantly, as have their total publications, citations and national output. Additionally, the most esteemed and prestigious academic journals of eminent academics who have had a significant impact on the dissemination of knowledge on bank efficiency and competition literature champion papers on banking efficiency and competition. In terms of citation performance and collaborative efforts, the United States tops the developed countries, led by China, which is also the most productive. Additionally, single-country publications predominate in the literature, with China ranking first among the top five countries with corresponding authors. While the Lerner index, H-statistic, concentration index and market power were used to measure bank competitive behaviour, the data envelopment analysis approach predominates efficiency estimation techniques that are linked to cost, profit or revenue, scale, technical and productivity indexes. Originality/value: This study is one of the first to offer bibliometric evidence of both bank competition and efficiency. It also offers proof of the distribution of knowledge and intellectual structure of the concepts and concerns in bank competition and efficiency. [ABSTRACT FROM AUTHOR]

This article compares potential revenue from electric storage in retail and wholesale electric markets. The retail value can be extracted when storage responds to time-of-day retail prices. The wholesale value is enabled by the recent US Federal Energy Regulatory Commission Order 2222, which requires regional transmission operators (RTOs) to allow distributed storage behind the meter to participate in wholesale electric markets. To quantify the value of these markets, we use realistic time-of-day rates and market prices in one RTO's ancillary service market. Formulae are developed to estimate the value of behind-the-meter storage in wholesale and retail markets, using an example electric vehicle in a fleet setting. The formulae are also used to compare whether or not net metering is available and different charging rates. The aggregate national storage behind the retail meter is very large, given the projected growth of electric vehicles. Our findings indicate the revenue from wholesale markets can be significantly more than that of retail opportunities. However, the potential in either retail or wholesale markets is currently limited by both state policy and incomplete RTO implementation of FERC orders. [ABSTRACT FROM AUTHOR]

Tax debt collection is an important element for optimizing state revenue, but until now it has not run optimally. The process of collecting tax debts in Indonesia is often long and complicated. Tax collection faces obstacles such as short billing expirations, regulatory complexity, and unwieldy sanctions. The solution to this challenge involves improving regulations, increasing taxpayer awareness, strengthening institutions, and mitigating external factors affecting tax payment. This research is expected to provide an evaluation of the effectiveness of institutional mechanisms in enhancing tax debt collection for state revenue in Indonesia and an analysis of the current institutional regulations governing tax debt collections, providing insights into potential areas for reform and improvement. [ABSTRACT FROM AUTHOR]

Article on factors that influence increasing revenue: baggage drop service, determining flight time slots, and tenant selection within the scope of marketing management science. This article aims to create hypotheses regarding the relationship between factors, which can then be used for further research in the field of marketing management. The research method used in this research is descriptive qualitative. The data used in this research comes from previous research which is still relevant to the current investigation. Data was collected from leading academic online platforms, including Publish or Perish, Google Scholar, digital reference books, and Sprott journals. The results of this literature research include: 1) Baggage drop services have an effect on increasing revenue; 2) Determining the flight slot time has an effect on increasing revenue; and 3) Tenant selection has an effect on increasing revenue. [ABSTRACT FROM AUTHOR]

Copyright of Optimum: Journal of Economics & Management Sciences / Ekonomi ve Yönetim Bilimleri Dergisi is the property of Optimum: Journal of Economics & Management Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Businesses investing in production digitalization equipment are supposed to benefit from increased productivity, enhanced efficiency, and revenue growth. Despite the increasing use of digital technologies in business, many companies still struggle to measure and maximize their returns from production digitalization investments. This research assesses the impact of production digitalization investments on companies' financial performance (operating revenue) for European businesses in the period of 2013 to 2021. To achieve this target, we performed a Fixed Effects Panel Regression analysis, using a sample size of 5706 records from the Orbis database for 30 countries, covering 634 business units. The production digitalization investment in this research is expressed by a calculated variable value, measured as the annual change in a company's Plant and Machinery value, adjusted with corresponding an annual depreciation value for the assets. The regression output was analyzed by considering the characteristics of the company size and business location. The results suggest that companies in Eastern Europe benefit more from production digitalization than those in Western Europe. The analysis highlights the tendency for the company costs of the employee and intangible fixed asset value to increase as production digitalization investments grow. Additionally, it shows that large companies tend to gain more from such investments than smaller ones. The analysis provides support and guidance for businesses' production digitalization investment strategic decision-making processes. [ABSTRACT FROM AUTHOR]

Wind power generation has the problem of wind resource waste. Wind‐hydrogen coupled can enhance wind power's utilization and revenue. Currently, there is no discussion of the impact of multiple factors on the system configuration. In this study, take the annual profit of the wind‐hydrogen coupled power generation systems (WHCPGS) as the objective function, and construct the multi‐factor capacity configuration model. Using particle swarm optimization (PSO) to solve the model, and analyzes the impact of multi‐factors on the system's annual profit and revenue mode. The results show that with 30 wind turbines, the coupled system annual profit increases by 43% compared to the alone system. The higher investment does not make the system more rewarding. The configuration results are the same for investments of 0.8 billion ¥ and 1 billion ¥. The price at 0.20 ¥ kW−1 h−1, the coupled system has the optimal annual profit. Fuel cells' (FCs) electricity price and hydrogen transportation distance are crucial factors influencing the mode of the system profit. This study has specific reference significance for the practical application of capacity configuration of the system. [ABSTRACT FROM AUTHOR]

This paper critically examines the RevPASH formula used in restaurant revenue management. It highlights limitations in the formula, which combines seat count and service hours, making it difficult to discern variations in revenue drivers. To address this, the paper proposes a revised formula that separates variables for focused analysis. The new formula enhances understanding of the metrics purpose as a baseline unit of measure and reflects capacity as physical seating capacity. It also suggests pairing seat utilization for additional context and deeper insights into demand patterns, capacity utilization, and operational efficiencies. These advancements enable analysts to make more informed decisions for optimizing restaurant revenue and profit performance. [ABSTRACT FROM AUTHOR]

Traditional commercial banks are impacted by financial disintermediation amid the advent of online banking. Lower revenue has forced banks to focus on new non-interest revenue to increase bank revenue. With banks' serious efforts toward digital transformation, this study is interested in examining whether digital transformation can affect non-interest income in China. Nonetheless, as the net profit of Chinese banks has dropped by 4.95 percent, rapid digital transformation does not promote non-interest income effectively. This study foresees the crucial role of financial inclusion in moderating the case and sets this as the ultimate aim of this study. This article uses the GMM to conduct an empirical study on the data of 116 banks from 2014 to 2021. As expected, the results show a non-favorable effect of digital transformation on non-interest income, but financial inclusion successfully brings a positive note. Hence, to grow together with customers, while initially, banks may have to lower the interest charges, efforts to enhance everyone's pursuit for a better financial life may help banks to enjoy more profit via higher non-interest income. [ABSTRACT FROM AUTHOR]

We explore two complementary mechanisms that are designed to work together to reduce spatial inequality—redrawing municipal borders and the redistribution of tax resources. This study's methodology is based on the empirical analysis of 376 decisions of boundary commissions and permanent geographic commissions that resulted in land transfers and redistributed tax resources in Israel. Our findings indicate that the impact on spatial inequality is mixed. Over time, the amount of land transferred to low socio-economic municipalities has increased, provided that these municipalities are located in the center of the country, or have a Jewish ethnic majority, are politically affiliated with the Minister of the Interior and the ultra-Orthodox right, are financially sound, and have a large population and a large area. In contrast, the redistribution of tax resources provides revenue increases for low socio-economic municipalities that are in the periphery, largely populated by Arabs, are unaffiliated with powerful politicians, are financially weak and small in size and population. [ABSTRACT FROM AUTHOR]

We investigate a finite‐horizon dynamic pricing problem of a seller under limited commitment. Even when the buyers are ex ante symmetric to the seller, the seller can charge different prices to different buyers. We show that under the class of posted‐price mechanisms this asymmetric treatment of symmetric buyers strictly revenue‐dominates symmetric treatment. The seller implements this by using a priority‐based deterministic tie‐breaking rule instead of using a random tie‐breaking rule. The effect of asymmetric treatment on revenue increment increases monotonically as we increase the time horizon of the game. [ABSTRACT FROM AUTHOR]

This study examines the relationship between revenue and profit drivers and long-term financial performance in the hotel industry based on 17-years data (2004–2020) of six US hotel chains. The analysis creates, tests, and analyzes a cross-level model that examines the complex endogenous relationships, underlying long-term financial performance of hotels. Specifically, we examine the interaction of room price (ADR) and customer satisfaction (ACSI) within a sales-volume-driver framework that impacts financial performance through profitability, measured at both the operating and accounting levels. This study seeks to advance our understanding of these relationships, their characteristics, and their implications for long-term financial performance in the hotel industry. The findings reveal that customer satisfaction is more important than price in achieving long-term financial success in the hotel industry, whereas room nights sold is significant positive driver of all performance levels. [ABSTRACT FROM AUTHOR]

An optimization model is necessary to depict and induce the volatility and irregularity of manufacturing technology standard (MTS) diffusion processes to ensure that the standard can be widely adopted by related stakeholders in host countries. This paper clarifies the two‐sided network coordination of MTS's transactional diffusion, consisting of new product diffusion among users and new technology diffusion among local suppliers. A procurement contract is introduced to connect and coordinate the two‐sided networks. The manufacturer from the home country is responsible for the contract design, which aims to maximize its net revenue by considering the product diffusion processes. Local suppliers determine whether to accept the contract. The decision‐making objectives of the contract acceptance for each local supplier are to maximize the net revenue and minimize workload fluctuation. The new standard‐based products are produced and sold by the manufacturer. The corresponding local supplier adopts new standard‐based technologies and supplies components for final product production if a contract is accepted. Therefore, a one‐leader and multiple‐follower Stackelberg game is proposed to figure out the best solution after coordinating the multiple objectives of each participant. The contract design and the contract acceptance are the leader and the follower, respectively. Analytical solutions under a specific MTS for refrigerator production are developed incorporating a nested Non‐dominated Sorting Genetic Algorithm‐II. The results demonstrate that the proposed method can efficiently coordinate the two‐sided networks of MTS diffusion and balance the net revenue of all related stakeholders. [ABSTRACT FROM AUTHOR]

The dual-credit policy promotes green transition in automobile companies. This paper investigates the dual-credit policy framework in the Chinese automotive industry, with a focus on the phenomenon of free riding. This occurs when traditional vehicle manufacturers within an alliance benefit from the excess credits generated by a transitioning vehicle company without fully committing to their own green transitioning. The focus of this study lies on an alliance constituted by a transitioning vehicle company in partnership with two traditional vehicle manufacturers, all interconnected via equity ties. Utilizing an agent-based system dynamics model, this study explores the strategic behaviors emerging from such credit collaborations and their consequent effects on operational efficiency and financial performance. The findings reveal that 1. free riding negatively impacts the transitioning company's revenue but benefits the alliance by easing transition pressures and boosting collective performance; 2. stricter policies increase intra-alliance credit transfers and performance, while lower credit prices reduce transfer value and harm the transitioning company's earnings. This study implies that transitioning vehicle companies with equity-linked partners can benefit from a nuanced understanding of how policy mechanisms interact with alliance dynamics under free riding. By adjusting credit transfer strategies in line with market conditions and policy trends, they can better navigate the dual-credit policy landscape, balancing individual profitability with the needs of the broader alliance and long-term sustainability goals. [ABSTRACT FROM AUTHOR]

This article examines four major Financial Fair Play (FFP) cases that have come before the Court of Arbitration for Sport (CAS). Although significant previous work has addressed FFP in European football, there is a major gap where its treatment at the CAS is concerned. In addition to creating substantial holes in the effectiveness of FFP regulations, the progression of the four cases discussed have let some of FFP's most egregious offenders avoid sanctions they would consider damaging. In considering two especially important cases, this article argues that Paris Saint-Germain and Manchester City have provided ample guidance for transforming mediocre clubs through disguised equity infusions to circumvent FFP until a sustainable revenue structure is created. For the CAS, the case line resulting in major FFP offending clubs escaping meaningful sanctions builds upon a body of anti-doping jurisprudence that has had the effect of shifting the cost-benefit analysis of rule breaking. This failure in both the FFP and CAS realms leads into a larger emergent policy reform conversation. [ABSTRACT FROM AUTHOR]

The management of individual weights in broiler farming is not only crucial for increasing farm income but also directly linked to the revenue growth of integrated broiler companies, necessitating prompt resolution. This paper proposes a model to estimate daily average broiler weights using time and weight data collected through scales. In the proposed model, a method of self-adjusting weights in the bandwidth calculation formula is employed, and the daily average weight representative value is estimated using KDE. The focus of this study is to contribute to the individual weight management of broilers by intensively researching daily fluctuations in average broiler weight. To address this, weight and time data are collected and preprocessed through scales. The Gaussian kernel density estimation model proposed in this paper aims to estimate the representative value of the daily average weight of a single broiler using statistical estimation methods, allowing for self-adjustment of bandwidth values. When applied to the dataset collected through scales, the proposed Gaussian kernel density estimation model with self-adjustable bandwidth values confirmed that the estimated daily weight did not deviate beyond the error range of ±50 g compared with the actual measured values. The next step of this study is to systematically understand the impact of the broiler environment on weight for sustainable management strategies for broiler demand, derive optimal rearing conditions for each farm by combining location and weight data, and develop a model for predicting daily average weight values. The ultimate goal is to develop an artificial intelligence model suitable for weight management systems by utilizing the estimated daily average weight of a single broiler even in the presence of error data collected from multiple weight measurements, enabling more efficient automatic measurement of broiler weight and supporting both farms and broiler demand. [ABSTRACT FROM AUTHOR]