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Considering the emergence of e-commerce platforms and their integration into marketing channels, this paper aims to investigate how artificial intelligence (AI) resources – both technological and human – possessed by e-commerce platforms can enhance their channel power by acquiring market-based assets (relational and intellectual).

Based on resource-based theory and resource orchestration theory, the authors developed a framework tested using survey data gathered from the sellers, which incorporated six key variables: the e-commerce platform’s AI technology resources and human resources, rational and intellectual market-based assets, intraplatform competition and channel power. The analyses are performed using the regression analysis technique.

The empirical findings indicate that both technological and human AI resources are crucial in building channel power. In addition, market-based assets serve as a mediator in this relationship, while intraplatform competition moderates the effect of intellectual market-based assets on channel power negatively.

This study contributes to the existing literature by exploring how e-commerce platforms’ AI resources affect their channel power. The results offer valuable guidance to managers and researchers on optimizing AI resources to improve channel power.

This study investigates the relationship between credit booms and bank risk in Association of Southeast Asian Nations (ASEAN) countries, with credit information sharing acting as a moderator.

The authors use a two-step System Generalized Method of Moments (SGMM) estimator on a sample of 79 listed banks in 5 developing ASEAN countries: Indonesia, Philippines, Malaysia, Thailand and Vietnam in the period 2006–2019. In addition, the authors perform robustness tests with different proxies for credit booms and bank risk. The data are collected on an annual basis.

Bank risk is positively related to credit booms and is negatively associated with credit information sharing. Further, credit information sharing reduces the detrimental effect of credit booms on bank stability. The authors find that both public credit registries and private credit bureaus are effective in enhancing bank stability in ASEAN countries. These results are robust to regression models with alternative proxies for credit booms and bank risk.

Banks in ASEAN countries tend to have strong lending growth to support the economy, but this could be detrimental to stability of the sector. Credit information sharing schemes should be encouraged because these schemes might enable growth of credit without compromising bank stability. Therefore, policymakers could promote private credit bureaus (PCB) and public credit registries (PCR) to realize their benefits. The authors' research focuses on developing ASEAN countries, but future research could provide more evidence by expanding this study to other emerging economies. In-depth interviews and surveys with bankers and regulatory bodies about these concerns could provide additional insights in the future.

The study is the first to examine the role of PCB and PCR in alleviating the negative impact of credit booms on bank risk. Furthermore, the authors use both accounting-based and market-based risk measures to provide a fuller view of the impact. Finally, there is little evidence on the link between credit booms, credit information sharing and bank risk in ASEAN, so the authors aim to fill this gap.

This study updates the literature review of Jones (1987) published in this journal. The study pays particular attention to two important themes that have shaped the field over the past 35 years: (1) the development of a range of innovative new statistical learning methods, particularly advanced machine learning methods such as stochastic gradient boosting, adaptive boosting, random forests and deep learning, and (2) the emergence of a wide variety of bankruptcy predictor variables extending beyond traditional financial ratios, including market-based variables, earnings management proxies, auditor going concern opinions (GCOs) and corporate governance attributes. Several directions for future research are discussed.

This study provides a systematic review of the corporate failure literature over the past 35 years with a particular focus on the emergence of new statistical learning methodologies and predictor variables. This synthesis of the literature evaluates the strength and limitations of different modelling approaches under different circumstances and provides an overall evaluation the relative contribution of alternative predictor variables. The study aims to provide a transparent, reproducible and interpretable review of the literature. The literature review also takes a theme-centric rather than author-centric approach and focuses on structured themes that have dominated the literature since 1987.

There are several major findings of this study. First, advanced machine learning methods appear to have the most promise for future firm failure research. Not only do these methods predict significantly better than conventional models, but they also possess many appealing statistical properties. Second, there are now a much wider range of variables being used to model and predict firm failure. However, the literature needs to be interpreted with some caution given the many mixed findings. Finally, there are still a number of unresolved methodological issues arising from the Jones (1987) study that still requiring research attention.

The study explains the connections and derivations between a wide range of firm failure models, from simpler linear models to advanced machine learning methods such as gradient boosting, random forests, adaptive boosting and deep learning. The paper highlights the most promising models for future research, particularly in terms of their predictive power, underlying statistical properties and issues of practical implementation. The study also draws together an extensive literature on alternative predictor variables and provides insights into the role and behaviour of alternative predictor variables in firm failure research.

This paper aims to empirically investigate the role of market-based transformative service initiatives (TSIs) during the refugee crisis and shed light on how such TSIs increase inclusion of refugees in service systems by using market forces while creating broader benefits for service organizations themselves.

This paper uses the case of the World Food Program’s (WFP) Dalili smartphone application targeting Syrian refugees in the context of Lebanon. A mixed-methods approach, including in-depth interviews with the retail managers of the local supermarkets and statistical cross- and intra-regional analysis on the retailing mix elements of the local supermarkets was adopted for the empirical investigation.

The results show that the WFP’s Dalili TSI increases service inclusion of refugees by facilitating their access to the essential food services easier and at affordable prices and helps them integrate into the host community. Furthermore, such market-based TSIs were shown to have broader benefits for other stakeholders in the food retail ecosystem including retailers and nonrefugee shoppers as they are successful in improving the retailing management standards of the participating supermarkets by decreasing the average retail price of the merchandise, increasing their variety and assortment, increasing promotional offers and improving the customer service level.

This research fills the gap in the literature for empirical investigation on the impact mechanism of market-based TSIs on service inclusion and well-being of refugees. In contrast to the majority of TSIs studied in the literature that are designed by governments or nonprofit organizations in the areas such as higher education, health care and humanitarian aids, this study focuses on the case of TSIs developed by supranational organizations using market forces in the food retail ecosystem. Furthermore, the findings suggest that TSIs could also benefit the service organizations that offer such initiatives.

The findings of this paper have implications for service organizations and policymakers and their ability to design effective market-based TSIs during the refugee crisis.

The studied case in the context of TSIs in the food retail ecosystem and the empirical approach used are academically novel. Moreover, focusing on the refugee crisis in the Middle East region is rather understudied in the service research literature.

Prior studies suggest that corporate cash holding will reflect firms' corporate governance (CG) environment. Consistent with this prediction, this study aims to examine the impact of board characteristics on firms' cash holding in the UK, France and Germany.

Using 2,805 firm-year observations between 2009 and 2019, the authors examine the relationship between board characteristics and corporate cash holding. The authors used two measures of cash holdings as our dependent variables. As independent variables, the authors used CG characteristics relevant to effective board monitoring such as board meetings, outside directors, board size and board gender diversity.

The authors find that board characteristics influence firms' cash holdings of firms in the UK, France and Germany. However, this study documents evidence of varying impacts of board monitoring on the cash holding of the UK when compared to German and French firms, the countries that are classifiable as bank-based economies. The result of this study is robust to alternative cash-holding measures and endogeneity.

This study provides evidence supporting the board's impact in mitigating agency conflict in shareholder- and stakeholder-oriented CG environments.

This study contributes to previous works on firms’ financial orientation by showing that the impact of board characteristics on corporate cash holdings varies between bank- and market-based economies.

Previous studies focus on the direct effects of marketing analytics on entrepreneurial performance, but few explore the underlying mechanisms. Drawing on affordance theory, this study explores pathways through new product innovation (NPI) for the effects of marketing analytics on business performance. NPI is a market-based innovation concept comprising customer- and competitor-driven NPD and incremental innovation.

Using survey data collected from UK-based entrepreneurial firms operating in the IT and telecoms industries, we apply confirmatory factor analysis and a sequential structural equation model to test the mediating role of NPI in the effect of marketing analytics on market performance and financial performance.

The results show that marketing analytics enhances business performance through competitor-driven but not customer-driven NPD. Although using marketing analytics to generate customer knowledge for existing product innovation may enhance market performance, this positive effect becomes negative when competitor-driven NPD is undertaken to improve existing product innovation.

This study makes significant contributions to the innovation and NPD literature. It delves deeper into the existing view on the positive contributions of customer engagement to business value creation, revealing the significance of competitor knowledge to enhance business performance through marketing analytics, particularly in the context of IT and telecoms entrepreneurial firms.

The purpose of this study is to examine the impact of corporate social responsibility (CSR) expenditure and business responsibility report (BRR) on a firm’s financial performance. Additionally, the study explores whether CSR expenditure and firm performance are related linearly or otherwise. The study also assesses the influence of mandating CSR expenditure on a firm’s performance.

The study is set in India and uses a nine-year data set from 165 companies listed on the Bombay Stock Exchange. Data compilation and analysis are done by using content analysis and panel data regressions.

The main findings of the study are that the effect of CSR expenditure on firm performance in India is non-linear and can be characterized as parabolic for investigated firms. While some performance indicators suggest a U-shaped relationship, others show an inverted U-type pattern, making a definitive conclusion elusive in either direction. BRR scores themselves have a positive impact on firm performance. Mandatory CSR expenditure affects the financial performance negatively, but the market performance improves in general.

The study provides new insights on the relationship between CSR expenditure, BRR scores and firm performance from India, which is not only a notable emerging market but also has other gripping characteristics. It has a prolific history of philanthropy, and yet, it is the first country in the world to mandate CSR expenditure in recent times. The equation between reported economic progress and general quality of life remains intriguing, and yet the number of studies on the effects of CSR expenditure on firm performance are no match to the volume of ongoing and completed works in more developed markets. This study attempts to trim the gap and provide some useful insights for managers, policymakers and stakeholders, apart from prompting further research.

Social media networks make their services freely available to all users. Users pay for the service received with the time and attention taken by the advertisements. This chapter argues that social media platforms are a unique form of monopoly driven by “the more the merrier” effect (i.e., network effects) in users' consumption. These monopolies exercise market power, not by charging higher prices to users but by “tying” larger amounts of advertising to their content. Traditional antitrust instruments designed to address excessive pricing and reduced output by monopolies need to be reframed to tame the attention economy problems in the social media industry. This chapter discusses five antitrust instruments grouped in three categories: structural, behavioral, and market-based remedies. Market-based solutions are the least explored in the literature, despite being the most promising instruments to lower the attention costs imposed on users, while preserving the economies of scope in production and the network effects in consumption, and possibly maintaining free access to social media, as we know it today.

This study aims to investigate the influence of the financial system (financial development and financial structure) on firms' innovation efficiency in China.

This study employs country level data of capital markets and financial institutions along with innovation data from 18 high-tech industries in China spanning the 2009–2016 period, and the stochastic frontier analysis (SFA) is applied to explore how financial development and financial structure affect the innovation efficiency of these industries.

Results show that financial development influences firms' innovation efficiency positively and the capital-market-based financial structure has a positive impact on innovation efficiency of high-tech industries. Furthermore, when the high-tech industries are grouped into five sub-industries, the results show that financial structure had different effects on the innovation efficiency in each sub-industry.

This work contributes to the empirical research on considering the influential factors of innovation efficiency from the perspective of financial system. This paper also extends the existing literature by the different influences of financial system on innovation efficiency in each sub-industry of Chinese high-tech industries.

In 1991, India embarked on market-based economic reforms initiatives pillared on liberalization, privatization and globalization (LPG). The reforms exposed the public sector enterprises to competitive market forces, raising the need to identify and develop the competencies necessary for survival. Executive training programs were initiated to prepare public enterprises for the market-based reforms. Three decades later, the reforms especially privatization is witnessing renewed interest under the current administration. In this context, the article takes a closer look at the structure of management education provided to public sector officers in India. The article also identifies barriers for implementing the learnings from the management courses in the workplaces and suggests approaches for closing the gap.

The study follows a thematic approach based on unstructured interviews of senior executives of Indian public sector enterprises covering oil and gas, aeronautical, power and transportation sectors. New public management (NPM) is used as a yardstick of “business-like” characteristics of public sector enterprises.

Despite heavy investment, trainings have had only partial success in implementing the core objective of NPM, i.e. to provide quality services in a professional manner to meet citizen requirements. The study found that though concepts of NPM are introduced at multiple management training programs, the public enterprises lag in the implementation of NPM. The ingrained hierarchical and procedural culture of the enterprises was often highlighted as the challenge to its implementation.

The study will be of significance to Indian policymakers in designing management education programs to public sector employees. It brings out – (1) various models of management education provided to public servants across industries, (2) provide evidence on the extent of NPM implementation, (3) identify barriers for transitioning the learnings from the management courses to workplace and (4) suggest changes for improving effectiveness.

The existing research on LPG in India covers the economic transformation post-implementation and the factors contributing to the success of its implementation. This study adds to the limited literature available on the management education of public servants in the country.