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This study aims to provides the insights on the advantages and disadvantages of international franchising and licensing from the perspectives of legal and business considerations in the Gulf Cooperation Council (GCC).

Using a quantitative research approach, the authors conducted a survey with 150 business owners and franchisees in the GCC and analyzed the data using descriptive statistics, structural equation modeling and frequency analysis.

The findings reveal that while international franchising and licensing offer significant benefits for business expansion and revenue growth, they also pose risks related to legal compliance, cultural differences and intellectual property protection. Indeed, the results of this study provide valuable insights into the advantages and disadvantages of international franchising and licensing in the GCC from both legal and business perspectives.

There is limited research on the legal and business perspectives of international franchising and licensing in the GCC. This study contributes to the literature by providing a comprehensive analysis of the legal and business perspectives of international franchising and licensing in the GCC.

To complete this case, students will need to access financial statements from the Securities and Exchange Commission’s webpage. The links are provided. Students will also need to review the conceptual framework that is typically covered in Intermediate 1 to respond to question 5.

This case is based on the three financial statement restatements that Weatherford International Ltd. made over an approximately 18-month period. The restatements were due to a fraud committed by manipulating the income tax accrual in the financial statements. The manipulation used was to overstate the amount of income used to calculate the dividend exclusion and then use a relatively high tax rate to calculate the resulting tax benefit. The tax rate used for the fraud was substantially more than Weatherford’s effective tax rate (ETR), which was a prominent part of the company’s strategic growth plan. The tax senior with the external auditors who reviewed the entry made for the dividend exclusion captured the inconsistency with the comment that “This [the entry] deserves a huh?” The case is intended for students in Intermediate 2, where financial statement restatements and their effect on the company’s financial statements are typically covered. During the years covered in this case, Weatherford was also under investigation for violations of the Foreign Corrupt Practices Act (FCPA). Weatherford’s FCPA violations included multiple instances of bribery, the inappropriate use of volume discounts, improper payments and kickbacks in the United Nation’s Oil for Food program. Weatherford received the eighth-largest fine in the history of FCPA violations (at that time) of $152m. Weatherford’s FCPA investigation expanded, and the company paid another $100m in fines for violations of sanctions law and export control law. This case focuses only on the fraudulent manipulation of the financial statements through the tax accrual and does not delve into the other investigations. However, the linkage between those investigations and the fraud in this case is Weatherford’s nonexistent internal controls.

This case was designed to be used in Intermediate 2 financial accounting classes to highlight financial statement restatements and review the conceptual framework and materiality. The students who used the case did not have difficulty with the tax aspect of the case. However, most of the students had taken one tax class previously or concurrently. If students have not had any exposure to tax, the instructor might want to walk students through the tax aspects of the case.

For some years now, Cameroon has seen a significant increase in its electricity demand, and this need is bound to grow within the next few years owing to the current economic growth and the ambitious projects underway. Therefore, one of the state's priorities is the mastery of electricity demand. In order to get there, it would be helpful to have reliable forecasting tools. This study proposes a novel version of the discrete grey multivariate convolution model (ODGMC(1,N)).

Specifically, a linear corrective term is added to its structure, parameterisation is done in a way that is consistent to the modelling procedure and the cumulated forecasting function of ODGMC(1,N) is obtained through an iterative technique.

Results show that ODGMC(1,N) is more stable and can extract the relationships between the system's input variables. To demonstrate and validate the superiority of ODGMC(1,N), a practical example drawn from the projection of electricity demand in Cameroon till 2030 is used. The findings reveal that the proposed model has a higher prediction precision, with 1.74% mean absolute percentage error and 132.16 root mean square error.

These interesting results are due to (1) the stability of ODGMC(1,N) resulting from a good adequacy between parameters estimation and their implementation, (2) the addition of a term that takes into account the linear impact of time t on the model's performance and (3) the removal of irrelevant information from input data by wavelet transform filtration. Thus, the suggested ODGMC is a robust predictive and monitoring tool for tracking the evolution of electricity needs.

The building sector is vital to a nation’s economy, as it has a major influence on economic activity and growth, job creations and the advancement of infrastructure. Intricate challenges that are inherent in crises such as the COVID-19 outbreak lead to material scarcities, project delays, labor shortages, escalated expenses, funding challenges, regulatory obstacles and dwindling investment funds, all of which culminate in costs that are in excess of those budgeted. While numerous studies have explored the ramifications of COVID-19 on project budgets, there is little, if any, data available on forecasting the magnitude of this impact.

This investigation seeks to bridge this knowledge deficiency by devising a predictive tool grounded in an ordinal logistic regression method. An online survey was designed and disseminated to gauge the views of construction field experts about the diverse contributors to excessive costs during the viral outbreak, and a predictive tool, crafted from the survey participants’ feedback.

Findings showed that smaller-scale enterprises and contractor-centric establishments faced greater adversities than medium-to-large ones and consultancy-or-owner-type entities.

The insights from this research shed light on the amplified risk of higher project costs amid health crises or analogous events, underlining the imperative need for fortified risk management approaches to bolster project outcomes. By factoring in demographics, this research offers policymakers a refined lens through which to customize interventions and promote balanced and enduring advancement in the construction industry.

This paper aims to uncover patterns of Mexican craft beer consumers and guide companies’ decisions in the creation of new products, marketing strategies, advertising and promotion to increase craft beer sales and contribute to faster growth.

This is a conjoint analysis with a selection of attributes for new or renewed products, marginal disposition to pay for particular characteristics through brand-specific choice-based design, and market simulation.

This paper clearly demonstrates consumers’ preferences and willingness to pay in Mexico, with a cutting-edge market research technique combining the prioritization of preferred craft beer characteristics, and the price consumers are willing to pay for such product characteristics.

The study's sample size of 501 responses is relatively small compared to the total number of craft beer consumers in Mexico. To enhance the validity and reliability of the findings, future studies should aim to obtain larger samples and compare their results with those of this study.

This study has important implications for craft beer producers, allowing them to develop targeted craft beers with appealing attributes for Mexican consumers, such as color, aroma intensity, alcohol degree intensity, bitterness, foam level and price.

This study's market forecasting simulation technique is based on assumptions of consumer behavior and market dynamics. Although relevant variables were considered, unanticipated external factors or market changes could impact the forecasts' accuracy. This will allow for a more comprehensive understanding of craft beer consumer preferences in different markets and enhance the reliability of forecasting techniques.

This paper informs craft beer producers by providing valuable knowledge on customers’ preferences and willingness to pay to enhance craft beer companies’ product development processes.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

The purpose of this study is to identify the norms that underlie and condition the decisions made by preparers of financial reports.

This interview-based study illustrates how financial report preparers engage in behaviors linked to the perception of recognition and measurement of internally generated intangible assets by important stakeholders. All of the companies included in the study adhere to International Financial Reporting Standards when creating their consolidated financial statements. The participants selected for the study are involved in accounting decisions related to research and development in accordance with International Accounting Standard (IAS) 38.

The authors identify the normative assumptions underlying the recognition and measurement of internally generated intangibles, which are based on concerns of consistency, credibility and reasonableness. The authors find that the normative basis for legitimacy in financial accounting is primarily related to cognitive legitimacy and is not of a moral or pragmatic nature.

The study reveals that recognition and measurement of internally generated intangibles in financial accounting relate to legitimacy. The authors identify specific norms that form the basis of this legitimacy, namely, consistency, credibility and reasonableness. These identified norms serve as constraints, mitigating the risk of judgment misuse within the IAS 38 framework for earnings management.

This article explores whether six broad categories of activities undertaken by Canadian business scholars’ academics: publications record, citations record, teaching load, administrative load, consulting activities, and knowledge spillovers transfer, are complementary, substitute, or independent, as well as the conditions under which complementarities, substitution and independence among these activities are likely to occur.

A multivariate probit model is estimated to take into account that business scholars have to consider simultaneously whether or not to undertake many different academic activities. Metrics from Google Scholar of scholars from 35 Canadian business schools, augmented by a survey data on factors explaining the productivity and impact performances of these faculty members, are used to explain the heterogeneities between the determinants of these activities.

Overall, the results reveal that there are complementarities between publications and citations, publications and knowledge spillovers transfer, citations and consulting, and between consulting and knowledge spillovers transfer. The results also suggest that there are substitution effects between publications and teaching, publications and administrative load, citations and teaching load, and teaching load and administrative load. Moreover, results show that public and private funding, business schools’ reputation, scholar’s relational resources, and business school size are among the most influential variables on the scholar’s portfolio of activities.

This study considers simultaneously the scholar’s whole portfolio of activities. Moreover, the determinants considered in this study to explain scholars’ engagement in different activities reconcile two conflicting perspectives: (1) the traditional self-managed approach of academics, and (2) the outcomes-focused approach of university management.

This paper documents the Government Accounting Standards Board (GASB) 34 literature, primarily in the areas of (1) accountability and improved reporting, (2) government-wide financial statements and accrual accounting and (3) infrastructure asset capitalization and the modified approach. The paper also evaluates the state of the research, recognizes implications for practice and standard setting, identifies knowledge gaps and proposes avenues for future research.

The authors identified the articles in this narrative review by searching Google Scholar and EBSCO for the years 2000 through 2023, using the keywords GASB 34, government-wide financial statements, government fund statements, infrastructure assets and modified approach.

This review finds that GASB 34 requirements improved accountability and reporting, but GASB can still make improvements. The addition of the MD&A section requirement improved readability but placed a burden on preparers. Analysis of government-wide statement research indicates that the accrual-based Statement of Net Assets provides value in credit decisions, while the accrual-based Statement of Activities does not. The research on infrastructure accounting requirements shows limited adoption of the modified approach and some comparability issues with choices involving capitalization thresholds, baselines and asset management systems (AMSs). Based on this review, the authors also present suggestions to further this line of research.

To the best of the authors’ knowledge, this is the first article that reviews over 20 years of GASB 34 related literature. The review and suggestions for future research are timely as GASB is in the process of reexamining some of GASB 34's requirements.

The purpose of this paper is to explore how variations in management’s tone within management’s discussion and analysis (MD&A) sections of 10-K reports can serve as an indicator of tax avoidance and highlight the complex relationship between such linguistic shifts and the tax avoidance decisions within firms.

The paper uses a textual analysis approach to identify linguistic cues in MD&A sections of 10-K filings related to tax avoidance, going beyond traditional quantitative measures. The study uses differences in negative word occurrences in MD&A to measure management’s tone change and examines various measures of tax avoidance. The sample covers the period from 1993 to 2017 and comprises all firms with 10-K filings available on EDGAR, totaling over 30,000 firm-year observations.

The findings indicate a complementary relationship between tax avoidance and other drivers of firm performance. When firms have more negative management’s tone, they are less willing to engage in tax avoidance and vice versa. The study’s approach with management’s tone change provides a different and statistically significant improvement in model fit for detecting tax avoidance.

This paper provides actionable insights for detecting tax avoidance through the analysis of management’s tone in corporate disclosures, offering a new tool for researchers, investors and tax authorities. It highlights the importance of linguistic cues as indicators of tax avoidance behavior, complementing traditional financial metrics.

The paper contributes to the literature by using management’s tone change as a time-varying factor to explain tax avoidance behavior. It uncovers a larger set of linguistic cues in MD&A that can be used to detect tax avoidance. This research provides a complementary approach to traditional quantitative tax avoidance measures and offers insights into the overall relationship between tax avoidance and firm performance, going beyond one-dimensional measures typically used in prior literature.