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The purpose of this multi-voiced paper is to propose a prosocial paradigm for the field of performance management and management control systems. This new paradigm suggests cultivating prosocial behaviour and prosocial groups in organizations to simultaneously achieve the objectives of economic performance and sustainability.

The authors share a common concern about the future of humanity and nature. The authors challenge the influential assumption of economic man from neoclassical economic theory and build on evolutionary science and the core design principles of prosocial groups to develop a prosocial paradigm.

Findings are based on the premise of the prosocial paradigm that self-interested behaviour may outperform prosocial behaviour within a group but that prosocial groups outperform groups dominated by self-interest. The authors explore various dimensions of performance management from the prosocial perspective in the private and public sectors.

The authors call for theoretical, conceptual and empirical research that explores the prosocial paradigm. They invite any approach, including positivist, interpretive and critical research, as well as those using qualitative, quantitative and interventionist methods.

This paper offers implications from the prosocial paradigm for practitioners, particularly for executives and managers, policymakers and educators.

Adoption of the prosocial paradigm in research and practice shapes what the authors call the prosocial market economy. This is an aspired cultural evolution that functions with market competition yet systematically strengthens prosociality as a cultural norm in organizations, markets and society at large.

As internet banking service marketing platforms continue to advance, customers exhibit distinct behaviors. Given the extensive array of options and minimal barriers to switching to competitors, the concept of customer churn behavior has emerged as a subject of considerable debate. This study aims to delineate the scope of feature optimization methods for elucidating customer churn behavior within the context of internet banking service marketing. To achieve this goal, the author aims to predict the attrition and migration of customers who use internet banking services using tree-based classifiers.

The author used various feature optimization methods in tree-based classifiers to predict customer churn behavior using transaction data from customers who use internet banking services. First, the authors conducted feature reduction to eliminate ineffective features and project the data set onto a lower-dimensional space. Next, the author used Recursive Feature Elimination with Cross-Validation (RFECV) to extract the most practical features. Then, the author applied feature importance to assign a score to each input feature. Following this, the author selected C5.0 Decision Tree, Random Forest, XGBoost, AdaBoost, CatBoost and LightGBM as the six tree-based classifier structures.

This study acclaimed that transaction data is a reliable resource for elucidating customer churn behavior within the context of internet banking service marketing. Experimental findings highlight the operational benefits and enhanced customer retention afforded by implementing feature optimization and leveraging a variety of tree-based classifiers. The results indicate the significance of feature reduction, feature selection and feature importance as the three feature optimization methods in comprehending customer churn prediction. This study demonstrated that feature optimization can improve this prediction by increasing the accuracy and precision of tree-based classifiers and decreasing their error rates.

This research aims to enhance the understanding of customer behavior on internet banking service platforms by predicting churn intentions. This study demonstrates how feature optimization methods influence customer churn prediction performance. This approach included feature reduction, feature selection and assessing feature importance to optimize transaction data analysis. Additionally, the author performed feature optimization within tree-based classifiers to improve performance. The novelty of this approach lies in combining feature optimization methods with tree-based classifiers to effectively capture and articulate customer churn experience in internet banking service marketing.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.

Regardless of its relevance for economic development, the influence of strategic orientation by innovation orientation, and strategic marketing by marketing capability on firm performance, this interesting study focused on firms with strategic industries (defense and security) in Indonesia. It approached the gap in three ways. Initially, the examination was conducted on the role of innovation orientation, marketing capability, the interaction of innovation orientation and marketing capability on firm performance. The next step was considering the contribution of state-owned enterprise (SOE) and non-SOE. Finally, this relationship was studied in strategic industries of firms in Indonesia. The firm performance in this study, which we chose, was operational performance. The proposed conceptual model would be tested by distributing questionnaires to 41 firms in Indonesia. This study gave insight into the matters, which should be the companies’ focus, to improve their operations’ performance. By using PLS-based structural equation modeling (SEM) analysis, the results of the relationship between innovation orientation, marketing capability, and the interaction between innovation orientation and marketing capability on operational performance were identified. The findings could be clarified via the variations in the characteristics of enterprises (SOE and non-SOE). Moreover, there were clear variations in the findings, which were recognized among the firms’ relatively different characteristics. The main finding was a challenge to generalize the relationship from strategic orientation and strategic marketing to performance. The results of firm characteristics also had considerable managerial relevance. The authors recommend strategic industries (defense and security) in Indonesia in achieving operational performance excellence. Management’s importance is paying attention to the relationship between innovation orientation, marketing capability, and dynamic capability in running a company organization.

How do informal lending institutions affect entrepreneurship? This paper aims to investigates the role of formal and informal credit market institutions in the decision to become an entrepreneur over the life cycle.

The author developed a dynamic Roy model in which a decision to become an entrepreneur depends on the access to formal and informal credit markets, nonpecuniary benefits of entrepreneurship, career-specific entry costs, prior work experience, education, unobserved abilities and other labor market opportunities (salaried employment and nonemployment). Using detailed Russian panel microdata (the Russia longitudinal monitoring survey) and estimating a structural model of labor market decisions and borrowing options, the author assesses the impact of the development of informal and formal credit institutions.

The expansion of traditional (formal) credit market institutions positively impacts all workers’ categories, reduces the share of entrepreneurs who borrow from informal sources and incentivizes low-type entrepreneurs to switch to salaried employment. The development of the informal credit market reduces the percentage of high-type entrepreneurs who borrow from formal sources. In the case of default, a higher value of the social network or higher costs of losing social ties demotivate low-type entrepreneurs to borrow from informal sources. The author highlights the practical implications of estimates by evaluating policies designed to promote entrepreneurship, such as subsidies and accessibility regulations in credit market institutions.

This study contributes to the literature in several ways. Unlike other studies that focus on individual characteristics in the selection for self-employment [Humphries (2017), Hincapíe (2020), Gendron-Carrier (2021), Dillon and Stanton (2017)], the paper models labor and borrowing decisions jointly. Previous studies discuss transitions between salaried employment and self-employment, taking into account entrepreneurial earnings, wealth, education and age, but do not consider the availability of financial institutions as a driving factor for the selection into self-employment. To the best of the author’s knowledge, this paper shows for the first time that the transition from salaried employment to self-employment is standard and consistent with changes in access to financial institutions. Another feature of this study is incorporating both types of credit markets – formal and informal. The survey by the European Central Bank on the Access to Finance of Enterprises (2018) shows 18% of small and medium enterprise in EU pointed funds from family or friends. Therefore, the exclusion from consideration of informal credit markets may distort the understanding of the role of the accessibility of credit markets.

The policy of strategic diagnostics in the modern economy of Russia's regions is built in a contradiction. The expected growth of the share of material production in GRP was not confirmed. Analysis of economic indicators allows stating the expected tendency in dynamics of development of tertiary spheres. A dominating element of structural changes of economy is consumer market.

Several methodological approaches to defining the category “consumer market” are distinguished: marketing, institutional, reproduction, and economic.

For formation of methodological foundations of evaluation of consumer market, several methodologies are systematized. A methodology including two stages of evaluation of development of consumer market is offered: diagnostics (first stage) and forecasting (second stage) of the region's consumer market.

According to evaluations obtained by the authors, a strategic factor of structural changes in Russia's economy is regions' consumer market. Its well-balanced development ensures acceleration of progressive structural changes in economy. A dominating factor in the structure of consumer market is trading sphere, and a tool of structural changes is trading the goods of local and domestic manufacturers.

Perhaps the most significant development in the global business arena in the post-war period has been the emergence of the Asia-Pacific rim countries as a significant economic force.

How do you sell a Norwegian invention, Cheese in a Tube, to a world used to cheese coming as a block or in slices? This is something Kavli has succeeded in doing despite established cultural norms for cheese and related food products. Adapting to new cultural environments requires a reexamination of the market mix and positioning of the product, especially when the product has a strong home country cultural specificity. More distant markets have different preferences and environments and may require some degree of adaptation of the firm's marketing mix. The capacity of the firm to adapt to these differences and to respond to this challenge can make the difference for the future survival and long-term success of the firm.

Market response models or marketing mix models quantify the effects of marketing actions on consumption-based outcomes such as sales and market share. They are frequently used in the business sector to help managers make effective resource allocation decisions, especially in the digital age. However, these models can also be used on social causes, in particular to gauge the efficacy of regulations on consumption levels that have social consequences. This chapter explores these principles in two major areas of social concern, alcohol consumption and narcotics abuse. We review the empirical findings in these two areas, based on published research in major marketing journals, and we formulate various recommendations for the effective regulation of alcohol and narcotics consumption.

While brand purpose has gained traction in academia and industry, it overlaps with other socially-oriented branding concepts, generating confusion and criticism around what brand purpose is and how it should be implemented. This study aims to clarify conceptualisations of brand purpose and related concepts, developing a managerial framework for effective implementation and contributing a future research agenda for scholars.

The paper presents the results of a systematic literature review on brand purpose, exploring the current knowledge. A total of 202 studies from 75 journals were drawn from a wide range of databases and met the identified criteria relevant to brand purpose, published up to and including 2023. Full papers were empirically analysed using qualitative iterative thematic analysis to identify common and emerging themes and synthesise this into a framework.

Beyond identifying the diverse applications of brand purpose, the BEING framework is proposed. This acronym captures five principles of brand purpose: beyond profit, enduring commitment, integrated values, nurturing stakeholders and genuine action.

The BEING framework provides clear managerial guidance for implementing brand purpose, urging brand leaders to enact meaningful brand purpose and champion purpose within organisations.

As more brands pursue a higher purpose, this research elucidates the meaning of brand purpose and offers an actionable framework for brands to contribute to a better world.

This work examines the related branding concepts, clarifying the brand purpose concept and offering the BEING framework to articulate essential components of effective brand purpose.