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Global crises create an environment that is characterized by a fight for survival by countries, companies and citizens. While firms have adopted business initiatives to ensure survival in a global crisis, many measures are geared toward preventing customer churn, declining revenues and eroding market share. Such short-term focus raises an important question regarding long-term survival – how can firms survive a global crisis? The purpose of this study is to investigate how firms can survive a global crisis.

This study considers pandemics as the study context and uses a triangulation methodology (past research, managerial insights and popular press articles) to advance the organizing framework. Using the process study approach, the proposed framework recognizes the onset characteristics of a global crisis with a focus on pandemics and the government actions that reflect the pandemic onset. The framework also identifies a logical order of three marketplace reactions to the pandemic – management response, consumer response and critical business transformations that ultimately lead to firm survival – and advances related research propositions of such reactions.

By deploying critical business transformations, firms can ensure firm survival in a pandemic by fostering engagement with customers, employees and resources. Additionally, the moderators that influence the relationships between (1) management response and critical business transformations, (2) consumer response and critical business transformations, and (3) critical business transformations and firm survival are identified. Finally, this study presents an agenda for future research.

To the authors' best knowledge, this is the first study to adopt an interdisciplinary approach to study firm survival in a global crisis such as a pandemic. This study answers the call for more research to the growing field of pandemic research in the areas of marketing research and marketing strategy.

The learnings from this study can help firms on what to anticipate and how to respond in a crisis such as a pandemic.

Societal welfare is accounted for as firms plan to deal with a crisis.

This is the first study to propose a strategic framework to deal with a crisis that is largely unanticipated where the duration and the impact is not predictable.

This study investigates the relationship between bank capital and liquidity creation and further examines the effect that institutional quality has on this relationship in Sub-Saharan Africa (SSA).

The data comprise 41 universal banks in nine SSA countries from 2010 to 2022. The study employs the two-step system generalized methods of moments and further uses alternative estimators such as the fixed-effect and two-stage least squares methods.

The empirical results show that bank capital has a direct positive and significant effect on liquidity creation. In addition, the positive effect of bank capital on liquidity creation is enhanced, particularly in a strong institutional environment. The results imply that nonconstraining capital regulatory policies bolster bank solvency, improve risk-absorption capacity and increase liquidity creation.

This study has several policy implications. First, it provides empirical evidence on the position of banks in SSA on the financial fragility and risk-absorption hypothesis of bank capital and liquidity creation debates. This study shows that the effect of bank capital on liquidity creation in SSA countries is positive and supports the risk-absorption hypothesis. Second, this study highlights that a country's quality institutions can complement bank capital to increase liquidity creation. In addition, this study highlights that nonconstraining capital regulatory policies will bolster bank solvency, improve risk-absorption capacity and increase liquidity creation.

The novelty of this study is that it introduces the country's quality institutional environment into bank capital and liquidity creation links for the first time in SSA.

This paper aims to review, discuss and synthesize the literature focusing on the Indian initial public offering (IPO) market. Understanding the Indian IPO market can help answer broader corporate finance questions. The growing number of IPOs in the Indian context, coupled with the increasing importance of the Indian economy in the global market, makes this review an essential topic.

The systematic literature review methodology was adopted to review 111 papers published between 2002 and 2021. The authors used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach during the review process. Additionally, the authors use a bibliometric review methodology to examine the pattern and trend of research in this area of interest. Furthermore, the authors conduct a critical review and synthesis of the top 20 papers based on citations. The authors also use a co-citation network and manual content analysis method to identify key research themes.

This review helps in identifying major themes of research in this area of interest. The authors find that majority of the research has focused on IPO performance whereas post-IPO performance needs critical attention as well. The authors develop a comprehensive framework and future research agenda based on their discussion.

Meta-analysis of the literature can be conducted to gain better insights into the findings of prior studies.

This review paper develops a comprehensive overview on Indian IPO market which can be of interest not only to Indian scholarship. India as an economy is increasingly gaining attention at the global level. Hence, the future research objectives as illustrated in the study can be of interest for the global scholarship also.

To the best of the authors’ knowledge, this is the first comprehensive review paper that examines, synthesizes and outlines the future research agenda on Indian IPO studies. This review can be useful for researchers, business policymakers, finance professionals and anyone else interested in the Indian IPO market.

Digitalization is affecting business management and pushing for new strategies, innovative products, new ways to communicate with stakeholders and new channels. This phenomenon is unavoidable, and companies have to face it in a holistic and integrated way. One holistic and interconnected approach, when studying enterprise challenges, is represented by the business process management method, a fitting mechanism when digitalization needs to be amalgamated in business practices, enhancing the intellectual capital (IC), therefore, this study researches digitalization under business process lens, in a sample of small and medium enterprises (SMEs), that constitute an under-explored set, as regard digitalization, process management and IC. The research aims to explore the digital tools and business processes link and the related impact on performance, benefits and IC.

In exploring digitalization, a sample of Italian SMEs was scrutinized. The data were elaborated using two types of tests: (1) the binomial tests for the categorical questions and (2) the zeta test was used for quantitative variables. Furthermore, the partial least square (PLS)-SEM model was applied.

Findings reveal that some digital tools are more adopted in the sample analysed, and also some particular digital tools are more inclined to support certain business processes. Furthermore, not only performance benefits emerge, but also benefits in terms of better communication and faster decisions, supporting the decision making process of managers, also considering that business processes approach is one way to manage IC.

Thanks to the conducted research it is possible to make aware managers and owners of SMEs to consciously choose the right type of digitalization investments, without neglecting training programme, to realize the company digital transformation, providing a map and bearing in mind the value added creation, protecting their IC.

The paper's originality is represented by the contribution in opening the black box about digitalization, business process management and IC in small and medium companies.

The paper aims to test the effect of liquidity creation on profitability and stability with the moderating role of political instability and its level of implication on the overall banking sector of Pakistan.

This study uses the panel data estimation technique, including fixed- and random-effect model, by taking sample data of 28 banks of Pakistan that are providing their services from 2006 to 2019. Moreover, this study uses the Genreralized Method of Moments (GMM) estimation technique to check the robustness of the results.

The empirical outcomes of this study found a negative relationship of liquidity creation with profitability meanwhile positive relation with banking stability. However, this study shows a negative relation of political instability with liquidity creation, profitability and stability of overall banks of Pakistan.

The findings of this paper recommended the vital role of liquidity creation in the profitability and stability of banks, especially in the decision-making process of the investors and bank managers, and how it is affected strongly in the presence of an unstable political situation. These findings may be helpful for policymakers to devise appropriate policies to maintain a fair field between state authority and financial institutions and also assist in formulating strategies to strengthen the banking sector of Pakistan to avoid financial turmoil in the future.

As per the knowledge of the authors, this study is the first contribution to examine the moderating effect of political instability on liquidity creation, profitability and stability of the overall banking sector of Pakistan.

The case study is designed to help students understand how the “growth at all costs” attitude can lead to compromised corporate governance in a start-up leading to disastrous implications for all the stakeholders. This case study aims to make students understand the components of the fraud triangle, the impact of financial fraud on various stakeholders, the role of venture capitalist (VC) investors and the importance of good corporate governance in start-ups. The case study presents an excellent opportunity for students to discuss the consequences of ignoring good governance in the pursuit of growth in a start-up. After analyzing the case study, the students shall be able to explain the concept of the fraud triangle and to be able to identify the motivation, opportunity and rationalization of financial irregularities in a start-up; analyze the impact of financial irregularities on various stakeholders; comprehend the business model of VCs and evaluate its influence on VC-funded start-ups; and appraise the importance of good corporate governance in start-ups.

The case study revolves around the confession of financial irregularities made by one of the cofounders of GoMechanic, a start-up headquartered in Gurugram, India. On January 18, 2023, Amit Bhasin confessed to financial irregularities in the company’s financial statements, leading to laying off 70% of the workforce of the company. GoMechanic had earlier raised close to US$62m [1] from maverick global investors including Sequoia Capital, Tiger Global, Orios Venture Partners and Chiratae Ventures, and was negotiating to raise Series D financing from the Japanese multinational SoftBank with aspirations to be a unicorn (start-up with a valuation of over $1bn). The confession led to a debate about the consequences of the “growth at all cost” culture being followed by start-ups as well as VCs. GoMechanic was not an isolated instance of a lack of governance in the start-ups. The confession had consequences not only for the GoMechanic but for the entire start-up ecosystem of India, which was the third largest in the world. Bhasin stated that the founders take full responsibility for the situation, and they were working on a plan which was most viable under the circumstances. However, it was not going to be easy to regain the confidence of the investors.

The case study is best suited for senior undergraduate- and graduate-level business school students and in executive education programs in courses such as corporate governance and ethics, private equity and entrepreneurial finance.

Teaching notes are available for educators only.

CSS 1: Accounting and finance

Organizations and markets are constantly developing and changing, impacting how organizations create value and manage supply chains. This paper aims to identify the motor themes and subthemes of academic research that relate supply chain management (SCM) maturity and business models (BMs).

The Science Mapping Analysis Tool (SciMAT) was used to conduct a seven-step bibliometric analysis of 889 documents indexed in the Scopus database clustering by relatedness of works and keywords. The methodological approach included content analysis of the literature, longitudinal analysis and strategic diagram analysis.

The thematic evolution analysis revealed that three themes drive the studies on SCM maturity and BM: industry 4.0 (motor theme), environmental management (transversal theme) and product management (highly developed and isolated theme). The strategic diagrams and co-word networks allowed to graphically identify the main topics connecting SCM maturity and BM. Considering this connection, the scientific mapping emphasizes the significance and strength of the link between digital technologies, technology management and manufacturing management in Industry 4.0. In addition, the connections between the subthemes revealed that circular economy and green human resource management are important concepts to advance theory and practice on the connection between SCM maturity and BM.

This research extends the knowledge base by providing an analysis of the key themes and the links with subthemes in the literature that relate to SCM maturity and BM. Key studies are analyzed and linked with the key topics identified using the SciMAT software. Future research avenues are outlined, providing new insights to advance theory and practice.

This study aims to investigate the impact of liquidity creation (LC) on the profitability and stability of banks while considering the moderating role of corruption.

Panel data from 23 conventional banks and five Islamic banks in Pakistan spanning from 2008 to 2021 were used for analysis. The study used fixed effect and random effect models, along with the generalized method of moments estimation to ensure robustness of the results.

The study reveals a negative relationship between LC and banking profitability, but a positive association with banking stability. Additionally, corruption is found to play a moderating role in the relationship between LC, profitability and stability in the banking sector of Pakistan.

The findings have practical implications for bank managers and investors, emphasizing the negative relationship between LC and profitability in Pakistan. Moreover, the study highlights the significant impact of corruption on bank performance, which can guide policymakers in formulating strategies to strengthen the banking sector and prevent financial turmoil in the future.

This study makes a significant contribution to the existing literature by examining the moderating role of corruption in the relationship between LC, profitability and stability in both conventional and Islamic banks.

The purpose of this literature review paper is to explore the concept of organization agility and its relevance in today's dynamic business environment. By conducting an in-depth review of existing academic and industry literature on organization agility, this study aims to identify the key factors that influence an organization's agility and the benefits and drawbacks associated with fostering agility.

Through the technique of bibliometric analysis, we provide the growth trajectory of the field by identifying the publication trends, prominent authors and countries and most prolific journal publishing in the concerned domain. We also provide the intellectual structure of the organization agility research by identifying the prominent themes that have been worked upon till date. In addition, with the backing of the theories, contexts, characteristics and methodology (TCCM) framework, we identify the most frequently applied theories, constructs and methods in organization agility research and provide new avenues for future research by analyzing the most frequently used theories, methods, constructs and research contexts.

With the ever-increasing ambiguity and need for change (why), organization agility serves as the organization's backbone. It acts as a springboard for the organization, an anchor point that remains constant while other functional aspects constantly fluctuate and change. Organization agility can be defined (what) as the ability of organizations to quickly respond to market needs by sensing, renewing, adapting and succeeding in a turbulent market. To summarize, organizational agility matters at three fundamental aspects (where): strategic level or the market capitalizing level, internal operational level and individual level.

This paper is unique in the sense that it is the first comprehensive literature review in the field of organization agility research to use a hybrid methodology (bibliometric review with TCCMs).

The purpose of this study is to comprehend how AI aids marketers in engaging customers and generating value for the company by way of customer engagement (CE). CE is a popular area of research for scholars and practitioners. One area of research that could have far-reaching ramifications with regard to strengthening CE is artificial intelligence (AI). Consequently, it becomes extremely important to understand how AI is helping the marketer reach customers and create value for the firm via CE.

A detailed approach using both systematic review and bibliometric analysis was used. It involved identifying key research areas, the most influential authors, studies, journals, countries and organisations. Then, a comprehensive analysis of 50 papers was carried out in the four identified clusters through co-citation analysis. Furthermore, a content analysis of 42 articles for the past six years was also conducted.

Emerging themes explored through cluster analysis are CE concepts and value creation, social media strategies, big data innovation and significance of AI in tertiary industry. Identified themes for content analysis are CE conceptualisation, CE behaviour in social media, CE role in value co-creation and CE via AI.

CE has emerged as a topic of great interest for marketers in recent years. With the rapid growth of digital media and the spread of social media, firms are now embarking on new online strategies to promote CE (Javornik and Mandelli, 2012). In this review, the authors have thoroughly assessed multiple facets of prior research papers focused on the utilisation of AI in the context of CE. The existing research papers highlighted that AI-powered chatbots and virtual assistants offer real-time interaction capabilities, swiftly addressing inquiries, delivering assistance and navigating customers through their experiences (Cheng and Jiang, 2022; Naqvi et al., 2023). This rapid and responsive engagement serves to enrich the customer’s overall interaction with the business. Consequently, this research can contribute to a comprehensive knowledge of how AI is assisting marketers to reach customers and create value for the firm via CE. This study also sheds light on both the attitudinal and behavioural aspects of CE on social media. While existing CE literature highlights the motivating factors driving engagement, the study underscores the significance of behavioural engagement in enhancing firm performance. It emphasises the need for researchers to understand the intricate dynamics of engagement in the context of hedonic products compared to utilitarian ones (Wongkitrungrueng and Assarut, 2020). CEs on social media assist firms in using their customers as advocates and value co-creators (Prahalad and Ramaswamy, 2004; Sawhney et al., 2005). A few of the CE themes are conceptual in nature; hence, there is an opportunity for scholarly research in CE to examine the ways in which AI-driven platforms can effectively gather customer insights. As per the prior relationship marketing studies, it is evident that building relationships reduces customer uncertainty (Barari et al., 2020). Therefore, by using data analysis, businesses can extract valuable insights into customer preferences and behaviour, equipping them to engage with customers more effectively.

The rapid growth of social media has enabled individuals to articulate their thoughts, opinions and emotions related to a brand, which creates a large amount of data for VCC. Meanwhile, AI has emerged as a radical way of providing value content to users. It expands on a broader concept of how software and algorithms work like human beings. Data collected from customer interactions are a major prerequisite for efficiently using AI for enhancing CE. AI not only reduces error rates but, at the same time, helps human beings in decision-making during complex situations. Owing to built-in algorithms that analyse large amounts of data, companies can inspect areas that require improvement in real time. Time and resources can also be saved by automating tasks contingent on customer responses and insights. AI enables the analysis of customer data to create highly personalised experiences. It can also forecast customer behaviour and trends, helping businesses anticipate needs and preferences. This enables proactive CE strategies, such as targeted offers or timely outreach. Furthermore, AI tools can analyse customer feedback and sentiment across various channels. This feedback can be used to make necessary improvements and address concerns promptly, ultimately fostering stronger customer relationships. AI can facilitate seamless engagement across multiple digital channels, ensuring that customers can interact with a brand through their preferred means, be it social media, email, or chat. Consequently, this research proposes that practitioners and companies can use analysis performed by AI-enabled systems on CEB, which can assist companies in exploring the extent to which each product influences CE. Understanding the importance of these attributes would assist companies in developing more memorable CE features.

This study examines how prominent CE and AI are in academic research on social media by identifying research gaps and future developments. This research provides an overview of CE research and will assist academicians, regulators and policymakers in identifying the important topics that require investigation.