Search results

The financial crisis of 2008-2009 was truly global in nature that affected all sectors and countries of the world. Being considered that a board of directors is the main governance mechanism through which a company is governed and managed. The purpose of this paper is to examine the effect of the governance structure of a company on its financial performance during the period of financial crisis.

The study investigates the effect of board structure parameters – board leadership, directors and board size on the financial performance for 164 non-financial listed firms in India during the period of financial crisis of 2008-2009.

The study finds a significant positive effect with Chief Executive Officer duality, executive chairperson and proportion of inside directors on the firm’s financial performance. Independent directors have no significant influence, while non-executive (grey) director’s being affiliated with the firm has a negative influence on firm’s financial performance. A larger board has a negative relationship with the firm’s financial performance.

The study is limited to large non-financial firms of the Bombay Stock Exchange-200 index. The study may be extended to include other firms to generalize the findings.

Results imply that during the period of financial distress, a company having more inside (or management) directors with an executive chairperson are in a better position to manage company resources with positive impact on financial performance. Companies with larger boards may find it difficult to take quick decisions, which ultimately affect their performance.

The study is original in its idea of assessing company strategy to adopt a suitable governance structure that can sustain its performance during the period of financial crisis.

Integrating digital technologies such as artificial intelligence and blockchain make the agri-food supply chain (ASCM) transparent, resilient and flexible. However, its adoption is quite complex due to various anticipated barriers. So, the presented research purposes to explore and investigate the barriers.

This study employs hybrid approach including Best-Worst Method (BWM) and Graph Theoretic Approach (GTA). Data were collected from industry experts employed in the agri-food sector and analyzed by means of standard operating procedures.

GTA results show that Technological barriers have the highest barrier intensity. Moreover, BWM results show that “Increased operational complexity” is the topmost barrier to adopting blockchain in ASCM. “Lack of interoperability” ranks second among the identified barriers.

The results benefit the managers, practitioners and researchers to understand the anticipated barriers so that necessary strategies can be developed, and organizations can become more resilient, agile, transparent and traceable.

The presented work is the first to develop a mathematical model and assess the industry’s eagerness to adopt blockchain in ASCM. The proposed framework will greatly benefit the stakeholders working in agri-food sector.

This chapter investigates pandemic impact in a variety of industries, including food, travel, education and pharmaceuticals, considering elements such as isolation, emotions and social influences, which can lead to panic buying. The goal of this research is to ascertain how COVID-19 influences the buying decisions of customers. Additionally, the study aims to identify consumer consumption trends for a spectrum of products and services, including fast-moving consumer goods (FMCGs), entertainment, pharmaceuticals, travel and tourism. A comprehensive review of different research papers is done to conclude. The papers considered are from 2020 to 2022. Different keywords are used to search the relevant papers such as ‘pandemic’, ‘COVID-19’, ‘behaviour’, ‘impulsive’, etc. TCCM framework has been applied while reviewing the articles. During the isolation, consumer behaviour moved to panic buying and stockpiling, favouring organic basics, and encouraging e-commerce, as well as economic nationalism favouring made-in-India products. This study helps in knowing the reasons for change in consumers' behaviour for different products and services due to unforeseeable situations like COVID-19 and can find possible ways to deal with them. Business owners learn about changing consumer purchasing behaviours and how to modify products. The government can change policies to improve medical tourism and social protection.

This study aims to examine the intricate relationships in the making of a box office through a stakeholder lens that considers the influence of filmmakers and theatres on moviegoers' intention to watch a movie at the theatre.

Employing covariance-based structural equation modelling (CB-SEM), this study analyses survey data on cinema-going experience collected from 673 moviegoers in digital era of a new normal.

The findings elucidate that movie branding, movie genre and theatre preference positively influence moviegoers' intention to watch a movie at the theatre. Furthermore, the study unveils that theatre preference is swayed by an array of personal and social factors, including control belief and social companion. Intriguingly, promotional elements, both commercial and non-commercial, were found to influence movie branding, yet not the genre when predicting theatre attendance intentions.

Amid the burgeoning alternatives for watching movies (e.g. cable television and online streaming platforms), this article offers a contemporary exploration of the variables that motivate audiences to partake in the cinema-going experience, thereby serving as a proxy to decipher the factors that drive a movie's box-office success in digital era.

Unlike prior studies relying on archival data, the present study collects and uses survey data to develop a novel stakeholder theory-based marketing framework for the box office and moviegoers. The study also provides seminal insights on the box office and moviegoers in the digital era of a new normal.

The purpose of this study is to map the development of articles published, citations, and themes of Marketing Intelligence and Planning (MIP) over the 37-year period of 1983–2019.

This study uses the Scopus database to identify the most-cited MIP articles and most-included authors, institutions and countries in MIP. The study uses bibliometric indicators, as well as tools such as bibliographic coupling, performance analysis and science mapping, to analyze the publication and citation structure of MIP. The study provides a temporal analysis of MIP publishing across different time periods.

MIP has an average publication of 43 articles each year, and the number of citations has grown substantially since it started publication. Although contributors to the journal come from around the globe, they most often are affiliated with the United Kingdom, United States, and Australia. Bibliographic coupling of documents reveals that the journal's primary focus has been on issues such as marketing planning, marketing theory, consumer behavior, global marketing, customer relationship management, customer service and branding. Co-authorship analysis reveals that the journal's collaborative network has grown.

This study uses data from the Scopus database, and any limitations of the database have implications for the findings.

First analysis of this kind of papers published in MIP

Micro-finance self-help groups empower caregivers to indulge in productive activities based on the local availability of resources to reduce their financial burden. The purpose of this paper is to assess the need for and feasibility of initiating micro-finance groups for the caregivers of persons with mental disability in a rural socio-economically backward community of Karnataka, India.

The design of the study was a cross-sectional survey, with mixed methodology design out of the eight localities where the Mental Health Public Health Centres (PHC) were running successfully in Konandur area, Thirthahalli Taluk, Karnataka, one PHC was selected using simple Random Sampling Design and a 5 kms radius from Konandur town was selected as the area of the survey (190 households). During door-to-door survey, if the family indicated that a particular member is mentally unwell, the GHQ-5 and Symptoms and Others checklist were administered on him/her and the women caregiver was interviewed using qualitative needs assessment schedule and Perceived Social Support Scale.

Ten persons/households with mental illness (5.26 per cent) were identified in the community. Themes of financial needs, capacity of the caregiver, community resources, need for the microfinance self-help groups, informational needs, social support, burn out, and stigma elicited in the interview were depicted in the form of a conceptual framework to understand the inter-connectedness between the various themes.

This study is the first initiative in the field of micro-finance self-help groups for the persons with mental illness and families. The design of the study was a cross-sectional survey, which is found globally to be the most suited in conducting prevalence studies, as it provides accurate results for future studies as well as it is the first step to obtain accurate baseline values to later plan a prospective follow up study. The study used mixed methodology design. Though the sample size was small, the information collected from the participants in qualitative and quantitative method was triangulated and conceptual frameworks were developed. As this study is one of the first of its kind in the country, the results of this study from the stated sample can be considered as an important pilot for future longitudinal and cross-sectional studies to be planned in the community.

There is hardly any scientific literature which talks about the need for Micro-finance self-help groups for Persons with Disability, especially with person with mental disability. In order to initiate any Micro-finance SHG activities, it is essential to first undertake the need for and feasibility of initiating such micro-finance group activities in any given area. This study will be an important milestone in initiating any self-help group activity for caregivers of persons with mental disability, as it would help us understand the financial needs of the community, based on which a draft proposal to initiate micro-finance self-help group activities can be drawn up.

This study aims to ask whether the funding behaviour of companies is different during a recession. Specifically, the authors study whether firms fund marketing resources and capabilities with internal or external financing during a recession and under which conditions of strategic financial flexibility debt might be used to fund marketing resources and capabilities in recessions.

This study estimates empirical models using a newly merged data set covering 17 years, from 2000 to 2016. The authors merge firms’ marketing and financial information from Advertising Age, the American Customer Satisfaction Index, Compustat and the Centre for Research in Security Prices. The sample includes a panel of 653 firm-years of 67 top corporate advertisers.

The results indicate that firms take recessions as opportunities to be proactive and invest in short- and long-term marketing capabilities, companies with higher strategic financial flexibility relative to their industry peers tend to rely more on debt to fund short- and long-term marketing capabilities during recessions, firms use internal financing to fund their marketing budgets and short-term marketing capabilities in recessionary and non-recessionary periods and firms use internal financing and signals from past stock returns as mechanisms to fund long-term marketing capabilities.

The findings contribute to the body of knowledge on the antecedents of marketing resources and capabilities. The results extend the pecking order theory to include recessions and provide nuances of the financing drivers of resources and capabilities.

Companies should be proactive during recessions and invest in short- and long-term marketing capabilities. When negotiating marketing budgets with chief financial officers, marketing practitioners could suggest the sources to finance specific marketing resources and capabilities. Based on the results of top corporate advertisers, the authors recommend companies to fund marketing capabilities with internal resources (e.g. cash flows, retained earnings), and if cash is not available, companies need to rely on their superior strategic financial flexibility to access long-term debt and fund investments in marketing capabilities. The authors also recommend companies to fund long-term marketing capabilities by re-allocating investments. As well, signals from past performance are an important source to gain access to capital and fund investments in long-term marketing capabilities.

This study provides a more complete picture of the financial antecedents of marketing resources and capabilities in general and during a recession. The authors provide light on the moderating role of strategic financial flexibility during recessions. This study also clarifies the potential signalling of past performance for funding marketing resources and capabilities.

Introduction: Many organisations nowadays use artificial intelligence (AI) in human resource (HR) activities like talent acquisition, onboarding of new employees, learning and development, succession planning, retention of employees, and automation of administrative tasks. When AI is integrated with HR practices, it helps HR personnel to focus more on the strategic aspects of the HR function and relieve them from routine HR activities.

Purpose: The readiness of employees to accept any change depends on organisational facilitation to change, employee willingness to accept the change, the requirement for change, situational factors, etc. This research studies the factors influencing employees’ change readiness towards acceptance of AI in HR practices. The researchers also strive to develop a conceptual technology adoption model for AI in HR practices by studying the earlier models. Finally, the research explores the acceptance of AI by various service sector employees and identifies whether there is any difference in their acceptance of AI based on demographic variables.

Methodology: A conceptual framework was derived using a combination of previous models, including the Technology Readiness Index (TRI), Change Readiness Scale, Technology Acceptance Model (TAM), Technology, Organization, and Environment (TOE) model, and change readiness scale. A structured questionnaire was designed and distributed to 228 respondents from the service sector based on the conceptual framework. An exploratory factor analysis (EFA) was used to determine the elements that influence employees’ level of change readiness.

Findings: The exploratory results on data collected from 228 respondents show that the model can be used for further research if a confirmatory factor analysis and validity and reliability test are performed. Employees are aware of AI and how it is used in HR practices, based on the study results. Moreover, while most respondents favour using AI in their company’s HR practices, they are wary of some aspects of AI.