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Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.

The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).

Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.

To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.

The aim of the study is to examine the influence of Intellectual Capital (IC) and its components on the financial performance of Indian sugar mill companies.

The present study follows the quantitative research, and uses data from Indian sugar mill companies over the period of recent 10 years. The Modified Value- Added Intellectual Capital (MVAIC) method is employed to evaluate IC. Authors construct panel regression models to test the hypotheses where Return on Equity (RoE) and Return on Asset (RoA) were considered as a representation of financial performance (dependent variable) and IC has been considered as the independent variable along with control variables.

The findings reveal that IC components show greater explanatory power than aggregate IC and MVAIC has a positive relationship with firm performance. It is evident that Capital Employed Efficiency (CEE) and Relational Capital Efficiency (RCE) have a positive effect on the RoA, while Human Capital Efficiency (HCE) and CEE have a positive impact on RoE. CEE is found to be a highly significant component to explain the financial performance of Indian sugar mill firms.

The study has practical implications for the policymakers for effective utilization of IC resources for worth enhancement which is essential for the improvement of financial performance.

The research extends the literature of IC by linking it to the financial performance of Indian sugar mill industry.

This paper aims to examine the impact of chief executive officer (CEO) attributes on foreign shareholdings from the perspective of an emerging economy.

This study examined Bombay Stock Exchange listed firms from the Indian stock market and applied a balanced panel data approach with fixed effect estimation technique during the period 2010–2019.

The study shows that CEOs’ financial education and a higher level of education positively affect foreign shareholdings. The age and experience of CEO have a positive and significant impact on foreign shareholdings. Firms with male CEOs are preferred more by foreign investors. The effect of CEO busyness and CEO duality is negative on foreign shareholdings. Foreign investors prefer to invest in firms with foreign nationality CEOs. Furthermore, the robustness test reveals that the influence of CEO attributes on foreign shareholdings is stronger for new, small and stand-alone firms than for old, large and group-affiliated firms.

The study will be beneficial for a diverse audience ranging from firms’ board of directors, regulators and policymakers who are entrusted with the CEO recruitment process. Additionally, firms seeking external financing should disclose CEO information adequately and improve the reporting quality to attract foreign investors, as they consider CEO characteristics as a valuable signal before making investment decisions.

In light of the current legislative reforms, this study can be recognized as one of the early studies that explore the relationship between CEO attributes and foreign shareholdings in the context of an emerging economy.

The purpose of this study is to examine the impact of corporate governance (CG) on the shareholding level of retail investors in Indian listed firms.

Primarily, a broad CG-index was constructed based on the Indian Companies Act, 2013; Clause 49 listing agreement; and Securities Contracts (Regulation) Act, 1956. Thereafter, a panel data approach has been used to examine the association between CG attributes and retail shareholdings (RSs) during 2014–2015 and 2018–2019.

Authors find that the firm-level CG quality positively affects retail investors’ shareholding level. The results explain that among various attributes of CG, retail investors pay more attention to firms’ audit and board information while making investment decisions. The results also reveal that the influence of CG attributes on RSs is lesser for group-affiliated, mature and large-sized firms than for stand-alone, young and small-sized firms.

First, the study provides new insight to the firms for increasing retail-shareholding levels and complying with India’s ongoing minimum public shareholding norms by improving CG practices concerning specific CG mechanisms. Second, it illuminates the regulators and policymakers to monitor and strengthen firms’ governance quality in light of ongoing regulatory reforms.

This study is a new investigation that explores the impact of CG on investment decisions of retail investors from the perspective of an emerging economy.

The manufacturing industry is presently experiencing technological disruption on a global scale. Consequently, to tackle such disruption, firms are identifying a volatile, uncertain, complex and ambiguous (VUCA) scenario and seeking ways to counter it. Accordingly, this paper aims to investigate the employee performance through assessing organizational citizenship behaviour (OCB) among the shop floor employees of the fast-moving consumer goods (FMCG) industry where a high-performance work system (HPWS) has been implemented.

A descriptive research design was used in the study, and 395 shop floor employees working in leading multinational firms, with a minimum global turnover of US$1bn, were interviewed. These manufacturing firms were located in three industrial clusters in the northern part of India.

The results indicate that HPWS influences OCB. Most of the dimensions of HPWS and OCB were found to be positively associated. The findings also disprove the labour process theory in the context of the study.

The findings report a broad view of the relationship between HPWS and OCB in the Indian manufacturing context. The study offers the practical insights that HPWS is a universally accepted framework and that organizations should focus on the effective implementation of HPWS in a VUCA scenario, which is in line with past studies. The study also provides future directions for research.

This paper has established the relationship between HPWS and OCB in the manufacturing sector, especially for shop floor employees.

The purpose of this paper is to examine the impact of strategic supplier partnership and customer relationship on supply chain responsiveness and then to analyse the influence of supply chain responsiveness on operational performance in the manufacturing industry in India. In addition to that, this study also investigates the moderating effects of demand uncertainty on the relationship between strategic supplier partnership–supply chain responsiveness and customer relationship–supply chain responsiveness.

A structured self-administered questionnaire was developed to collect data from manufacturing companies in India. This study performed the structural equation modelling and moderated regression for testing the hypotheses after ensuring the validity and reliability of identified constructs.

Strategic supplier partnership and customer relationship positively influence supply chain responsiveness, and supply chain responsiveness also positively impacts operational performance. In addition to that, demand uncertainty negatively moderates the relationship between strategic supplier partnership and supply chain responsiveness. However, demand uncertainty does not significantly affect the relationship between customer relationship and supply chain responsiveness.

Strategic supplier partnership and customer relationship are firstly investigated as antecedents of supply chain responsiveness. To the best of the author’s knowledge, this study is one of the first to examine the moderating effect of demand uncertainty on the relationship between supply chain practices (strategic supplier partnership and customer relationship) and supply chain responsiveness.