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The new customer churn prediction (CCP) utilizing deep learning is developed in this work. Initially, the data are collected from the WSDM-KKBox’s churn prediction challenge dataset. Here, the time-varying data and the static data are aggregated, and then the statistic features and deep features with the aid of statistical measures and “Visual Geometry Group 16 (VGG16)”, accordingly, and the features are considered as feature 1 and feature 2. Further, both features are forwarded to the weighted feature fusion phase, where the modified exploration of driving training-based optimization (ME-DTBO) is used for attaining the fused features. It is then given to the optimized and ensemble-based dilated deep learning (OEDDL) model, which is “Temporal Context Networks (DTCN), Recurrent Neural Networks (RNN), and Long-Short Term Memory (LSTM)”, where the optimization is performed with the aid of ME-DTBO model. Finally, the predicted outcomes are attained and assimilated over other classical models.

The features are forwarded to the weighted feature fusion phase, where the ME-DTBO is used for attaining the fused features. It is then given to the OEDDL model, which is “DTCN, RNN, and LSTM”, where the optimization is performed with the aid of the ME-DTBO model.

The accuracy of the implemented CCP system was raised by 54.5% of RNN, 56.3% of deep neural network (DNN), 58.1% of LSTM and 60% of RNN + DTCN + LSTM correspondingly when the learning percentage is 55.

The proposed CCP framework using the proposed ME-DTBO and OEDDL is accurate and enhances the prediction performance.

After analysing this case study, students will be able to understand the relationship between compensation, reward management and gig workers’ behaviour; apply the theory of organizational behaviour related to compensation management to address the motivational issues; analyse the challenges in managing the gig workers’ expectations related to compensation; and design innovative ways of retaining gig workers, especially delivery partners among the gig workers.

In April 2022, Riya, who worked as a business development manager at a newly established food delivery app company named “Our Kitchen” (located in Hyderabad, India), attended a meeting where the chief executive officer expressed concern about the difficulty in retaining their delivery partners. The company provided food delivery services to the customers by procuring ordered food from partner restaurants in select Indian cities. The delivery partners of the company worked part-time and received a commission for the hours they worked. With the rising fuel cost, minimal career growth and negligible social security benefits, it was hard for them to continue in their jobs. As a result, there were high attrition rates in the food delivery company. This case study is about the attrition issue being faced by the company and explores various strategies through which Riya could think of retaining the delivery partners so that there was a win-win situation for both parties. The dilemma given in the case study would help in understanding the motivational theories and factors that encouraged delivery partners to work for these jobs.

The case study is ideally suited for discussing human resources concepts, especially problems related to the retention of delivery partners without reducing the profit of the organization. It will help in understanding the motivational factors leading to job satisfaction and how that will help in the retention of delivery partners. The case study can also be used to teach the executives in a management development programme. This will help them to understand the gig workers’ motivational factors and the causes of their attrition.

Teaching notes are available for educators only.

CSS 6: Human resource management.

This case study exposes students to conflicts with distributors, escalated scenarios of a trade association and the possible repercussions of such a scenario. Upon completion of this case study, the students will be able to understand the critical success factors for a distribution setup and alignment of channels for driving growth; understand and manage the power dynamics with a stakeholder, like trade associations, distribution reach, fallacies in managing the distributors and identifying the gaps; critically evaluate negotiation opportunities when a trade association is not directly related to the principal organization.

This case study showcased a conflict between the distributor and Universal Heater Industries (UHI), a leading player in the water heater business in India. In 2015, the global leadership of UHI identified India as an emerging market and undertook a complete management overhaul to implement a new growth plan. Several measures were put in place that leveraged the global product portfolio and new people were appointed to push the agenda. Manish Singhal, the national sales head of UHI, selected Kerala as the pilot state to implement the new plan. However, the projects failed, as the distributor escalated the treatment meted out by UHI to the Electrical Trade Association (ETA). Trade associations have had a history of playing truant with players like UHI, and because of this, business came to a complete halt. The UHI and ETA teams met once; however, the suggested closure by ETA needed to be aligned with UHI’s interests. Singhal’s dilemma deepened, and they had to decide the next steps.

This case study is suitable for a postgraduate marketing course in a segment on managing channels, intermediaries, distribution management and channel conflicts. The uniqueness of this case is in the dimension of the trade association and managing the stakeholders.

Teaching notes are available for educators only.

CSS8: Marketing.

This work analyzes, through social-environmental reports, whether banks with higher transparency in social-environmental policies better safeguard financial stability in Brazil.

The analysis is carried out through a panel database analysis of the 42 largest Brazilian banks, representing 98% of the Brazilian financial system. Seeking to avoid spurious results, we followed rigorous methodological standards. Hence, we conducted an empirical analysis using a dynamic panel data model, we used the difference generalized method of moments (D-GMM) and the system generalized method of moments (S-GMM).

The results show that the higher the transparency of social-environmental policies, the lower the chance of possible stress on the financial stability of Brazilian banks. In sum, this study builds evidence that disclosing risks related to policies about sustainability can enhance financial stability. It is essential to highlight that social-environmental transparency does not have as direct objective financial stability.

The manuscript submitted represents an original work that analyzes whether banks with higher transparency in social-environmental policies better safeguard financial stability. Some countries, such as Brazil, have their potential for sustainable policies spotlighted due to their green territory and diverse natural ecosystems. Besides having green potential, Brazil is a developing country with a well-developed financial system. These characteristics make Brazil one of the best laboratories for studying the relationship between transparency in social-environmental policies and financial stability.

The purpose of this study was to examine the impact of strategic leadership (SL) on business operational resilience (OR) in the hotel industry in Egypt, namely, during and after the pandemic. This investigation also aimed to explore the mediating function of crisis response strategies (CRSs) and organisational e-readiness (Oe-R) in this relationship.

The researchers conducted a cross-sectional study using a questionnaire as the primary data collection method. Using partial least squares structural equation simulation (PLS-SEM), the study used a comprehensive sample that targets the general managers of all five-star hotels in Egypt.

Results indicated that SL has a positive impact on CRSs and Oe-R. Furthermore, the results reveal a positive influence of Oe-R on both CRSs and hotel OR. On the other hand, CRSs do not influence hotel OR. The findings showed that CRSs fully mediate the link between SL and OR. However, CRSs do not serve as a mediator between Oe-R and OR. Furthermore, the findings showed that Oe-R partially mediates the link between SL and both OR and CRSs.

The study yields unique and valuable theoretical and practical insights to guide hotel leaders and managers towards adaptive recovery and resilience in turbulent and crisis-ridden environments by demonstrating that the combined mediating function of CRS and Oe-R is more effective in strengthening the relationship between SL and OR.

This study represents a pioneering investigation that establishes a correlation between SL and OR, either through direct or indirect means. The research examines the involvement of CRSs and Oe-R as collaborative mediators in this relationship. Previous studies undertaken in the hotel industry and service sector have not investigated this specific element.

This paper aims to analyze the impact of the adoption of ISO 14001 and ISO 9001 on the performance of Portuguese companies. The sample includes the companies listed on Euronext Lisbon, with economic, financial and specific information – the specific being environmental information and quality information – for the period between 2015 and 2019, which corresponds to the post-Troika period when some economic growth started to be witnessed. The specific information of each area is translated into the environmental certification by the ISO 14001 standard, the quality certification by the ISO 9001 standard, and sustainability reports.

To achieve this aim, four variables were used as a measure of the companies' performance, Return on Assets (ROA), Return on Equity (ROE); Tobin's Q and EBITDA Margin. With this data, different panel models were tested to validate if ISO 9001 and ISO 14001 certifications impact Portuguese listed companies performance. Specifically, the authors have used the Generalized Method of Moments, GMM-System, an estimation method proposed by Arellano and Bover (1995) and Blundell and Bond (1998).

The results show that, in general, the environment and quality variables fail to explain the dependent variables, that is, ISO certifications do not provide positive or negative variations in the performance of companies, suggesting that they are not yet as much for civil society, as well as for current or potential shareholders. When used as an independent variable, certification according to the ISO 14001 or 9001 standards, negative and significant oscillations were verified in the dependent variable, MgEBITDA, suggesting that only for managers this variable is determinant, but with a negative impact, given the high costs, it entails without pressure from other stakeholders.

This study is the first to analyze the impact of the adoption of ISO 14001 and ISO 9001 on Portuguese companies' performance. This empirical study aims to show all investors, managers, regulators and civil society itself the long path that still needs to be taken toward sustainability.

Quality awards are widely considered symbols of successful quality management. The purpose of this paper is to empirically test the effects of the China Quality Award (CQA) on firms' performance. The study further explores how the benefits due to CQA are affected by contextual factors.

Using the data of CQA winners from 2001 to 2016, the event study method is applied to analyze the abnormal performance of winners. Furthermore, multiple regression models are proposed to evaluate the effects of contextual factors on the relationship between the award and profitability.

The findings show that CQA has positive impacts on profitability and fixed asset efficiency but not on labor productivity. Besides, state-owned firms and firms with high innovation intensity obtain more profitability benefits than others.

This is the first study to explain the relationship between quality awards and firm performance from a theoretical perspective, providing new insights into the quality management and performance literature. Furthermore, this study deepens the understanding of the relationship between quality awards and performance and reveals new implications. Some of the contextual factors examined, such as innovation intensity, are considered for the first time in quality award research.

This study aims to examine the impact of corporate social responsibility (CSR) awards on firms’ market value considering these awards as a signal and proxy for the effectiveness of CSR practice.

There are 342 announcements of CSR awards in China from 2006 to 2017 screened and analyzed using the event study methodology.

The stock market reacts significantly negatively to CSR award announcements in the short term. Firms that are state-owned, belong to the manufacturing industry, outside east China, repeatedly win awards and are listed in the Chinese H-share market, experience a stronger stock market reaction. Interestingly, the long-term stock returns of award winners are significantly positive for multiyear holding periods.

The findings offer stakeholders clear guidelines on how to manage communications in the market to extract enhanced financial performance from CSR award announcements.

This study chooses CSR awards as a proxy for the effectiveness of excellent CSR practice. This study also contributes to the CSR literature by analyzing how investors use the award information to make investment decisions.

Considering rapid digitalization development, this study examines the impacts of digital technology innovation on social responsibility in platform enterprises.

The study applies the event study method and cross-sectional regression analysis, taking 168 digital technology innovations for social responsibility issued by 88 listed platform enterprises from 2011 to 2022 to study the impact of digital technology innovations for social responsibility announcements of different announcement content and platform attributes on the stock market value of platform enterprises.

The results show that, first, the positive stock market reaction is produced on the same day as the digital technology innovation announcement. Second, the announcement of the platform’s public social responsibility and the announcement of co-innovation and radical innovation bring more positive stock market reactions. In addition, the announcements mentioned above issued by trading platforms bring more positive stock market reactions. Finally, the social responsibility attribution characteristics of the announcement did not have a significant differentiated impact on the stock market reaction.

Most scholars have studied digital technology innovation for social responsibility through modeling rather than second-hand data to empirically examine. This study uses second-hand data with the instrumental stakeholder theory to provide a new research perspective on platform social responsibility. In addition, in order to explore the different impacts of digital technology innovation on social responsibility, this study has classified digital technology innovation for social responsibility according to its social responsibility and digital technology innovation characteristics.