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This paper aims to identify and discuss insights from the business model field on the creation and delivery of value to customers that provide new thinking in relation to the strategic management accounting field.

The customer emphases exhibited in parts of the extant strategic management accounting literature are highlighted and amplified using insights from the business model literature, including those relating to value propositions, customer value creation and delivery and meeting customers’ value expectations.

The paper demonstrates that in addition to providing valuable insights for accounting to management, an extended strategic management accounting concept enables accounting and reporting to customers, now identified as major stakeholders, in the context of integrated reporting.

Through its customer resonances, the paper affirms strategic management accounting’s practical utility for organisations seeking a strong position in highly competitive marketplaces, via the addition of a focus on accounting to customers.

The paper’s use of insights from the business model literature further reinforces the view that strategic management accounting potentially constitutes a pivotal development within both managerial and financial accounting and reporting.

The accurate prediction of incoming cash flows enables more effective cash management and allows firms to shape firms' planning based on forward-looking information. Although most firms are aware of the benefits of these forecasts, many still have difficulties identifying and implementing an appropriate prediction model. With the rise of machine learning algorithms, numerous new forecasting techniques have emerged. These new forecasting techniques are theoretically applicable for predicting customer payment behavior but have not yet been adequately investigated. This study aims to close this research gap by examining which machine learning algorithm is the most appropriate for predicting customer payment dates.

By using various machine learning algorithms, the authors evaluate whether customer payment behavior patterns can be identified and predicted. The study is based on real-world transaction data from a DAX-40 firm with over 1,000,000 invoices in the dataset, with the data covering the period 2017–2019.

The authors' results show that neural networks in particular are suitable for predicting customers' payment dates. Furthermore, the authors demonstrate that contextual and logical prediction models can provide more accurate forecasts than conventional baseline models, such as linear and multivariate regression.

Future cash flow forecasting studies should incorporate naïve prediction models, as the authors demonstrate that these models can compete with conventional baseline models used in existing machine learning research. However, the authors expect that with more in-depth information about the customer (creditworthiness, accounting structure) the results can be even further improved.

The knowledge of customers' future payment dates enables firms to change their perspective and move from reactive to proactive cash management. This shift leads to a more targeted dunning process.

To the best of the authors' knowledge, no study has yet been conducted that interprets the prediction of incoming payments as a daily rolling forecast by comparing naïve forecasts with forecasts based on machine learning and deep learning models.

This study aims to provide a practical strategy for customer service and salesforce from the basis of behavioral economics. When customers thought they missed a discount but eventually could get the deal, they perceived that they had obtained more value. This research defines such a conversion effect between gain and loss accounts, demonstrates its impact in marketing settings and provides the salesforce a tactic to increase sales and quality of customer service to improve the consumer experience in the social customer journey.

Three experiments were conducted in a behavioral lab and online setting. Participants were randomly assigned to 2 (gain vs loss) × 2 (converted vs simple) between-subjects designs in the first two experiments and 2 (gain vs loss) × 2 (converted vs simple) × 2 (high price vs low price) in the third experiment. Analysis of variance was conducted to analyze the data. Mediation and moderation analyses were also conducted to identify the mediator and moderator in the model.

The conversion between gain and loss mental accounts exists, and the converted gains are more likely to lead consumers to make purchases with a once-lost discount than simple gains. This conversion effect is mediated by consumers’ implemental mindset activated by the conversion and moderated by price.

This research shows that mental accounts of gains and losses can be dynamically converted to one another. It provides a managerial tactic for salesforces and customer service to lead consumers to make a purchase decision right away. This is especially important when they aim to enhance the consumer experience in the social customer journey.

This study aims to investigate the impact of organizational external environmental factors on strategic management accounting (SMA) usage in an emerging economy.

The study collected data from 79 public limited companies listed with the Dhaka Stock Exchange (Bangladesh) through a questionnaire survey. Multiple regression analysis is employed to test the impact of external environmental variables such as perceived environmental uncertainty and intensity of competition on SMA usage.

The study finds a significant positive impact of environmental uncertainty (fluctuation in the external environmental factors) and intensity of competition (domination by few companies) on SMA usage. However, the direction and magnitude of this impact vary considerably for specific groups of SMA practices such as costing, competitor accounting, customer accounting and planning and performance measurement techniques.

This study shows the impact of several facets of environmental uncertainty (i.e. unpredictability, fluctuation, ambiguity, lack of information and uncertainty of the outcome of decision) and intensity of competition (i.e. stressfulness and domination) in the empirical-based SMA research.

The main purpose of this study is to provide healthcare institutions with a management accounting framework that helps them achieve their quality goals and cost targets when providing services under bundled payment schemes.

After providing a theoretical framework on both bundled payments and target costing, the success factors of the former are compared with the principles of the latter in order to analyze the compatibility and complementarity of these models. Afterwards, an example of their potential combination in practice is introduced and ideas for future research are suggested.

It is concluded that, apart from presenting similar underlying goals as regards quality and cost, bundled payments and target costing display elements in common that make them compatible from a theoretical standpoint.

Because bundled payments models are relatively new, studies on their compatibility with managerial techniques emerging from industries other than healthcare do not abound in the literature.

After the effective date of International Financial Reporting Standard (IFRS) 15, the accounting treatment of credit card rewards programmes (CCRPs) is no longer explicitly prescribed. Uncertainty regarding what constitutes faithful representation, and the inconsistent accounting practices observed, has created a need for guidance on the appropriate accounting treatment of CCRP transactions. Accounting theory has the potential to provide the foundation for this guidance. As a result, the objective of this study was to develop a theoretical model for the accounting treatment of CCRP transactions using accounting theory.

This non-empirical qualitative conceptual study utilised document analysis, focussing specifically on accounting theory, to construct an accounting treatment model.

Applying the relevant accounting theory (International Accounting Standards Board's (IASB's) Conceptual Framework), a theoretical model for the accounting treatment of CCRP transactions was developed, which emphasises the importance of understanding the economic phenomenon (the CCRP transaction) and determining how management views the transaction (in isolation as marketing or as an integral part of the credit card transaction).

Addressing the problem of accounting for CCRP transactions with reference to accounting theory (which is the main element of scholarly activity in accounting) distinguishes this study from previous research on the topic. The CCRP accounting treatment theoretical model could assist CCRP management in faithfully accounting for a CCRP transaction and reduce uncertainty and inconsistency in practice. Moreover, this study identified the procedures to be employed when using accounting theory to determine the appropriate accounting treatment of business transactions. These procedures could be employed by accountants when faced with other transactions not covered by specific accounting standards.

The purpose of this paper is to find out the role and factors that lead to efforts by banking institutions to deal with money laundering by using the principle of knowing your customer.

This research method uses a sociological juridical approach and descriptive analysis in analyzing the data.

The results of the study found that the implementation of the principle plays a role in identifying each transaction, and if there is a transaction that is considered suspicious, each bank is required to report the transaction to the center for reporting and analysis of financial transactions.

Banks must reduce the risk of being used as a means of money laundering by knowing customer identities, monitoring transactions, maintaining customer profiles and reporting suspicious transactions made by parties using bank services. The application of the know your customer principle (KYCP) is based on the consideration that KYCP is not only important in the context of eradicating money laundering but also in the context of implementing prudential banking to protect banks from various risks in dealing with customers.

To the best of the author’s knowledge, this is first empirical study of banking in Indonesia that conduct money laundering crimes through application of KYCPs.

This case investigation used firsthand statements, reports, testimony and regulatory records. While widely publicized in the popular press, this case is based on primary documents. On their website, many documents were obtained from Wells Fargo’s Corporate newsroom, such as the internal audit report shared with shareholders and press releases. Most other sources were from US regulatory websites (.gov) or congressional testimony. In a few places, quotes and comments came from reliable journalistic sites that cite their sources and follow a journalist’s code of ethics and conduct, ensuring that the reported remarks and data were verified.

Since 2016, Wells Fargo Bank has faced multiple customer mistreatment investigations and resultant fines. Public outcry and distrust resulted from Wells Fargo employees creating hidden accounts and enrolling people in bank services without their knowledge to meet desired levels of sustained shareholder growth. Over the past five years, Wells Fargo has been fined and returned to customers and stockholders over $3bn. Wells Fargo executives spent the first year of the scandal citing improper behavior by employees. Leadership did not take responsibility for setting the organizational goals, which led to employee misbehavior. Even after admitting some culpability in creating the extreme sales culture, executives and the Board of Directors tried to distance themselves from blame for the unethical behavior. They cited the organizations’ decentralized structure as a reason the board was not quicker in seeing and correcting the negative behaviors of these ‘bad apple’ employees. Wells Fargo faced multiple concurrent scandals, such as upselling services to retirees, inappropriately repossessing service members’ vehicles, adding insurance and extra fees to mortgages and other accounts and engaging in securities fraud. As time has passed, the early versions of a handful of “bad apples” seem to be only a part of the overall “poison tree.”The dilemma, in this case, is who is responsible for the misbehavior and the inappropriate sales of products and services (often without the customer’s knowledge)? Is strategic growth year-over-year with no allowances for environmental and economic factors a realistic and reasonable goal for corporations? This case is appropriate for undergraduates and graduate students in finance, human resources, management, accounting and investments.

An active case-based learning pedagogical approach is suggested. The materials include a short podcast, video and other materials to allow the faculty to assign pre-class work or to use in the classroom before a case discussion.

This study aims to integrate research on customer success (CS) management with the service ecosystems perspective of selling to enhance the understanding of the CS management function and the outcomes selling firms should expect based on implementation of CS management.

The authors apply the service ecosystems perspective of selling to describe how CS management is manifested in practice by offering relevant insights and practical industry examples.

Study findings identify relevant ecosystem actors, acting on behalf of the customer, required for the delivery of desirable customer outcomes. Study findings also link the orchestration efforts of CS managers to theory-based tenets for explanation of how CS management facilitates the attainment of competitive advantages via the thickening and thinning of ecosystem crossing points.

Given that the research is conceptual, additional research that empirically examines this framework and the insights presented would lend further credence to the recommendations the authors suggest.

From a practical perspective, the authors present a “Customer Relationship and Solution Innovation Matrix” which integrates necessary value-creating activities that CS managers perform and the coordination with internal actors that CS managers rely on to create value.

Although the practice of CS management is becoming increasingly common, theoretical approaches capable of explaining the function have been lacking. Similarly, while the service ecosystems perspective redefines selling to encompass a broader set of actors than traditionally examined, practical examinations of the theory are limited. The authors address these issues, integrating both research streams for an enhanced understanding of the CS management function through the service ecosystems perspective theoretical lens.

Purpose: Thanks to the Fourth Industrial Revolution and the digital economy, digital banking has become an attractive business trend. Moreover, the spreading of the Covid-19 virus worldwide over the past two years has boosted the digitalisation of banking services. The development of digital banking is now becoming an uncontroversial issue that will attract the concern of scholars, bank managers, and policy-makers.

Methodology: As an emerging country with a young population having significant digital appliance joy, Vietnam will be a perfect case study to research the development of digital banking. Besides, digital banks, as well as the appliances of artificial intelligence (AI) in the banking sector, have appeared in Vietnam’s banking system at several different levels.

Findings: Moreover, most commercial banks in Vietnam are now in the race to complete their digital services to provide innovative digital banking services that add more value to their clients. Hence, the chapter will describe the overall picture of Vietnam’s current digital banking market.

Implications: Based on the crucial features of the operations of several digital banks and the appliances of AI in the digital banking sector in Vietnam during the chosen period, the author would like to give information on the potential of the Vietnamese digital banking market and suggest the key policies which the Vietnamese government should consider to support the digital transformation of the banking sector in Vietnam.