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Strategic Management.

MBA, Executive MBA.

This case deals with Harsh Mariwalla’s struggle to develop an innovative company from scratch. The journey of innovation is not an easy one. Marico was forced to compete with multinationals in many markets where it operated. Constant pressure from rivals has made the company develop a new innovative business model, which is expected to generate profitability and sustainable competitive advantage.

Students will be able to appreciate the business models, understand the competitive moves by rivals, understand strategy formulation and implementation, understand product innovation and competitive advantage and understand the ability to tackle competition with innovation.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 11: Strategy.

The purpose of this paper is to test the relationship between the annual income earned by the investors and eight behavioural biases exhibited by the investors such as mental accounting, anchoring, gambler’s fallacy, availability, loss aversion, regret aversion, representativeness and overconfidence.

The relationship is derived based on a questionnaire survey conducted on 436 secondary equity investors residing in Chennai, India.

Analysis of variance test was performed on the normalised and non-normalised version of the biases divided in terms of the annual income earned by the investor. The test found that for the significant biases except the overconfidence bias, the investors with higher annual income were less prone to the biases when compared to investors with lower annual income. On the other hand, with respect to the overconfidence bias, the investors with higher annual income were prone to exhibit overconfidence bias when compared to the investors with lower annual income. Correlation analysis showed that the investors with high annual income were more likely to exhibit higher overconfidence bias but lower representativeness, loss aversion, availability and mental accounting biases.

A contribution in the financial and economic front which would benefit the financial advisors to now consider the income earned by the clients as an important factor while giving financial advice to the clients and while guiding them about the biases they are prone to exhibit.

Insurance companies play a significant role in every economy; hence, it is essential to investigate and understand the factors that propel their profitability. Unlike previous studies that present a linear relationship, this study provides initial evidence by exploring the non-linear impacts of the determinants of profitability amongst life insurers in South Africa.

The study uses a panel dataset of 62 life insurers in South Africa, covering 2013–2019. The generalised method of moments and the dynamic panel threshold estimation technique were used to estimate the relationship.

The empirical results from the direct relationship reveal that investment income and solvency significantly predict life insurance companies' profitability. On the other hand, underwriting risk, reinsurance and size reduce profitability. Further, the dynamic panel threshold analysis confirms non-linearities in the relationships. The results show that insurance size, investment income and solvency promote profitability beyond a threshold level, implying a propelling effect on life insurers' profitability at higher levels. Below the threshold, these factors have an adverse effect. The study further points to underwriting risk, reinsurance and leverage having a reduced effect on life insurers' profitability when they fall above the threshold level.

The findings suggest that insurers interested in boosting their profit position must commit more resources to maintain their solvency and manage their assets and returns on investment. The study further recommends that effective control of underwriting risk is critical to the profitability of the life insurance industry.

The study contributes to the literature by providing first-time evidence on the determinants of life insurance companies' profitability by way of exploring threshold effects in South Africa.

This paper examines the transformations that have been taking place in culture and built form in Sri Lanka and their spatial geography mooted by the open economic policies introduced in the 1970 s and the subsequent developments. It analyses the major facets of the dominant Sinhalese culture having located them within the sacred and profane realms, nature and its social make up. Major characteristics of the traditional culture and built-form are identified and through a longitudinal study of six case studies around the southern region, the study elucidates the major transformations and the social and societal forces behind them. The paper proposes three models for understanding such cultural transformations; Conventional-Sri Lankan, Transitional-Sri Lankan, and Euro-Sri Lankan, the forms of which could also be used in other similar situations.

The COVID-19 pandemic has created a new normal for international business (IB) activities, leaving them pondering their next steps. The decreasing effectiveness of current vaccines to protect individuals against new variants have created uncertainty on how to respond to the new waves of the COVID-19 infection. This study aims to empirically assesses how IBs perceive the unfolding challenges in the supply chain due to the pandemic and the solutions.

The survey data is obtained from 166 logistics professionals in Hong Kong and India.

The results reveal that returns on investment, logistics, delays and imports are the most affected areas. The most often recommended solutions for supply chain management (SCM) include using local manufacturing capabilities, analytics and automation, offering better customer service, providing more effective transportation means, ensuring diligence around optimization and focusing on sustainability.

The findings of this study help to improve supply chain operations. This study also provides recommendations for changes to SCM in response to the new normal.

This paper aims to examine the relationship between corporate governance and intellectual capital in the context of Vietnam. In this paper, corporate governance is proxied by various characteristics, including board size, a number of independent members in the board, board remuneration, major shareholder holding more than 20 per cent of the outstanding shares and duality of the CEO. In addition, intellectual capital is measured using the modified value-added intellectual coefficient model (MVAIC).

The study uses data of 45 Vietnamese listed firms during 2011-2018. The MVAIC model is used incorporating four components, namely, human capital, structural capital, capital used and relational capital. In addition, GMM regression technique is used in this paper.

Empirical findings from this paper indicate that key characteristics of corporate governance, except for board remuneration, may provide a negative effect on the efficient use of intellectual capital.

Intellectual capital emerges as a new field of research that has not been widely examined in emerging countries such as Vietnam. As such, there have not been many studies focusing on understanding intellectual capital and its role in the performance of enterprises. Further studies can evaluate the relationship between intellectual capital and corporate performance, capital structure, corporate value and social responsibility. This study is limited to listed companies in Vietnam because of data limitations in an emerging market. Studies in the future should extend the sample and/or compare differences between manufacturing enterprises and financial institutions, or between countries.

Findings from this paper provide a valuable framework for executives, managers and policymakers in managing corporate governance and intellectual capital within the Vietnamese context.

To the best of the authors’ knowledge, this is the first empirical study that has been conducted to examine the relationship between corporate governance and intellectual capital in the context of Vietnam.

The most difficult tasks in the design and development of products for diverse engineering applications were the selection of suitable materials. Choice of inappropriate process variables leads to poor performance, which increases the cost of the product. The selection of the best option of available alternatives is important to improve the performance and productivity of the manufacturing enterprises.

The paper aims to develop Hybrid Multi-Criteria Decision Making (HMCDM) by integrating two potential optimization techniques Elimination Et Choix Traduisant la REalité and multi-objective optimization on the basis of ratio analysis. The weight of the criteria was calculated using the critic weight method.

The efficiency and flexibility of the proposed HMCDM technique were illustrated and validated by two examples. In the first case, the best electrode material among the five available alternatives was selected for the electrical discharge machining of AZ91/B4Cp magnesium composites. In the second case, the optimum weight percentage of composites providing the best tribological properties was chosen.

It was noted that the HMCDM methodology was quite simple to comprehend, easy to apply and provided reliable rankings of the material alternatives. The proposed hybrid algorithm is suitable for product optimization as well as design optimization.

Lean Six Sigma 4.0 has brought about a paradigm shift in customization, automation, value creation and digitalization to achieve excellence in human factors, operations and sustainable development. Despite its potential, LSS 4.0 is still in its nascent stage, with researchers striving to identify the key and relevant components of LSS in relation to Industry 4.0. The present study aims to address this knowledge gap through a literature review and subsequently provide a conceptual framework for LSS within the context of digital transformation.

In this study, the authors have conducted a thorough review of reputable articles published between 2011 and 2022, focusing on the integration of Lean Six Sigma (LSS) and Industry 4.0 (I4.0). By using appropriate keywords, the authors identified around 85 relevant articles. The main objective of this integrative literature review was to analyze and extract valuable knowledge from the existing literature on LSS and I4.0. Based on the authors’ findings, a conceptual framework was developed.

The review revealed the motivators, building blocks, tools and challenges of LSS 4.0. The conceptual framework delves into the key aspects of LSS 4.0, focusing on the dimensions of people, process and technology, as well as their subdimensions. These subdimensions serve as the building blocks for developing LSS 4.0 capabilities. The proposed framework visually represents the conceptualization and the relationships among its components.

Only a few conceptual approaches to LSS are developed that include the concepts, new roles and elements of I4.0. As a result, this research investigates the gap in current LSS models preceding I4.0 and develops a conceptual framework to provide a novel and comprehensive summary of the new concepts and components driving nascent and current LSS practices in the digital era.

This study offers practical guidance for implementing LSS in the context of I4.0, emphasizing digital transformation. The findings highlight motivators, building blocks, tools, challenges and spread of LSS 4.0 practices, and present a conceptual framework of LSS 4.0. These insights can help organizations enhance their LSS capabilities and achieve excellence in human factors, operations and sustainable development.

This study aims to make a significant contribution to the model-building efforts of researchers focusing on LSS 4.0. By offering practical guidance, the points discussed in this study help enhance the implementation efforts of practitioners and organizations in the context of I4.0, with a specific focus on digital transformation. The guidance provided takes into account the perspectives of people, processes and technology, providing valuable insights for successful integration.

The purpose of this paper is to examine the relationship between the interactive use of budgets, role clarity and individual creativity.

Survey data was collected from mid-level managers in publicly listed Indonesian companies. The data was analysed using partial least squares.

The findings indicate that while there is no direct association between an interactive use of budgets and individual creativity, an interactive use of budgets can affect individual creativity via role clarity.

This study is one of only a few studies that provide empirical evidence on the relationships between individual creativity, role clarity and the interactive use of budgets. While previous studies have been undertaken in Western countries such as the USA and the UK, this study focuses on an emerging economy – Indonesia in which firms have been trying to improve individual creativity.

Scatter in the outcome of repeated experiments is unavoidable due to measurement errors in addition to the non-linear nature of the output responses with unknown influential input parameters. It is a standard practice to select an orthogonal array in the Taguchi approach for tracing optimum input parameters by conducting a few number of experiments and confirm them through additional experimentation (if necessary). The purpose of this paper is to present a simple methodology and its validation with existing test results in finding the expected range of the output response by suggesting modifications in the Taguchi method.

The modified Taguchi approach is proposed to find the optimum process parameters and the expected range of the output response.

This paper presents a simple methodology and its validation with existing test results in finding the expected range of the output response by suggesting modifications in the Taguchi method.

Adequacy of this methodology should be examined by considering the test data on different materials and structures.

The introduction of Chauvenet’s criterion and opposing the signal-to-noise ratio transformation on repeated experiments of each test run will provide fruitful results and less computation burden.