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This paper examines supplier involvement in design based on survey data from 145 Japanese, 189 US and 87 UK automotive component suppliers. First, cross‐national differences in the degree of supplier involvement are examined. Second, regression analysis is used to identify factors which predict high or low levels of supplier involvement in design. Third, the effects of supplier involvement in product development on the degree to which products are designed for manufacturability are assessed. The data show that, contrary to much of the literature that suggests the highest levels of supplier involvement in design are in Japan, suppliers in the USA and UK are more likely to report greater influence on product design decisions, earlier involvement and more frequent communications with customers about design. Moreover, manufacturing planning and design begin later, as a proportion of the development cycle, in Japan than in the USA and the UK. Regression analysis shows that involving suppliers early and giving them influence over design is associated with greater contributions of suppliers to cost reduction, quality improvement and design for manufacturability. Suppliers are given the greatest influence and communication is most intensive for the design of complex subsystems and new designs, and this does not vary by country.

Europe and North America have witnessed consistent decline in the manufacturing sector over a period of time. It is also evident from the existing literature that shows growth of Indian manufacturing industries is not at all satisfactory. The objective of the chapter is to analyze the manufacturing sector in India and also to highlight key factors related to the growth of manufacturing industry with special emphasis on Eastern India.

For the estimation, cluster sampling was used to collect data from 166 respondents in India. We initially sent the questionnaire to 200 entrepreneurs out of which 34 respondents did not retrograde. As a result the total sample size was 166. The scales were made operational by using 5-point Likert scales (1 = “Strongly Disagree” to 5 = “Strongly Agree”). We also followed recommended sample size for conducting multinomial logistic regression.

It is found that liberalized foreign direct investment policy, focus on export, focus on increasing rural consumption, delicensing of industries, and financial sector liberalization significantly influence sustainable economic development.

This paper examines the profitability and performance measurement of U.S. regional banks during the period 1994–2011, using the GMM estimator technique. Our study extends prior research by including several factors not previously considered using U.S. data.

We use bank-specific, industry-specific, and macroeconomic determinants of profitability contemporaneous with our performance indicators. We follow the accounting fundamental analysis path in explaining the bank performance.

Among the performance measures, the efficiency ratio and provisions for credit losses are negatively and equity scaled by assets is positively related to profitability. However, these relationships either reverse (efficiency ratio and provisions for credit losses) or become insignificant (equity scaled by assets) when the target becomes change in profitability. The level of nonperforming assets is negatively related to profitability across all measures of profitability used. Macroeconomic variables are largely unrelated to profitability during the year they are measured. However, they have a significant relationship with earnings change measures, suggesting they have a lagged effect on profitability. The slope of the yield curve is especially strong in this regard.

We use our determinants to model changes in bank profitability one year ahead, in addition to including several factors not previously considered, using the predictive focus of the fundamental analysis research.

Financial inclusion is acknowledged as a critical facilitator of the United Nations Sustainable Development Goals agenda for 2030. Therefore, this study aims to examine the asymmetric role of overall globalization on financial inclusion by controlling economic growth, urbanization and population for the selected South Asian countries.

Applying the nonlinear autoregressive distributed lag approach to cointegration explores the impact of overall globalization on financial inclusion in the presence of additional variables like economic growth, urbanization and population in the designed financial inclusion function.

The estimated econometric outcomes show that increasing overall globalization fosters financial inclusion while decreasing overall globalization reduces financial inclusion. Furthermore, a positive (negative) change in economic growth leads to an increase (decrease) in financial inclusion while varying short-run findings. Moreover, both positive and negative changes increase financial inclusion in the long run in connection with urbanization. Although the short-run results are not significant, the study finds that an increase (decrease) in population leads to a decrease (increase) in financial inclusion. Finally, to support the promotion of financial inclusivity throughout South Asia, several policies pertaining to financial inclusion are suggested.

To the best of the authors’ knowledge, this is the first study to examine the asymmetries related to overall globalization on financial inclusion by controlling economic growth, urbanization and population.

Intellectual capital (IC) is beneficial to the improved performance of businesses, irrespective of their industry. The present study proposes to check if the use of IC can also help in improving the asset quality of banks. Thus, this study aims to examine the impact of IC and its components on non-performing assets (NPAs).

The study has been conducted with a sample of 30 Indian commercial banks and analysed over a time frame of 15 years (2004–2005 to 2018–2019). The modified value-added intellectual coefficient model has been used to measure the independent variables, IC, and its components. The dependent variable, NPA, has been represented by the net NPA ratio. Two-step system generalized methods of moments (SGMMs) have been applied for the regression analysis. Along with the short-term estimates provided by the SGMM approach, the long-term impact of explanatory variables on the dependent variables has also been seen.

The results of the study show that IC and its components are indeed helpful for the management of NPA, as they impact the problem loans negatively. Furthermore, the long-term benefits of IC in enhancing bank credit quality are more substantial.

The results from the present study can be used by bank management. The bank managers can draw inferences that the efficient application of IC can help them reduce their loan losses. Developing skills and knowledge of employees, maintaining close relations with stakeholders, significantly the customers, and putting more sophisticated processes and infrastructure to use can help banks to control their loan losses.

A major proportion of studies examining the role of intangible assets in various aspects of the banking sector focuses on the association between IC and the financial performance of banking entities. However, for banking institutions, apart from financial performance, improving credit quality is also imperative for staying afloat. Thus, to the best of the authors’ knowledge, the present study is one of the first to examine the relationship between knowledge-based assets (i.e. IC) and bank credit quality.

The aim of this study is to investigate the corporate financing behaviour of nonfinancial Greek listed companies, focusing on how managers determine optimal capital structure.

The study analyses the results derived from questionnaires submitted to the companies' chief financial officers (CFOs), using both descriptive and nonparametric statistics.

The results broadly support the pecking order hypothesis over static trade-off theory. Firms listed on the Athens Stock Exchange prefer to use internal rather than external financing. A deeper examination of the systematic relationship between a number of variables and the financing decision provides tentative support for the existence of asymmetrically distributed information in the market and demonstrates a series of significant correlations among the determinative factors of a new long-term investment.

This paper fills the existing gap between prominent theories of corporate leverage and empirical evidence. The questionnaire collects primary research data that are not available from public sources and reports CFOs' opinions and practices in the field.

The purpose of this study is to assess the nexus between the vast dimensions of financial inclusion and economic development of the emerging Indian economy.

In this study, vector auto-regression (VAR) models and Granger causality test were followed to test the main research question in Indian context. The data were collected on various dimensions of financial inclusion and economic development for the period 2004-2013.

Empirical results and discussion suggest that there is a positive association between economic growth and various dimensions of financial inclusion, specifically banking penetration, availability of banking services and usage of banking services in terms of deposits. Granger causality analysis reveals a bi-directional causality between geographic outreach and economic development and a unidirectional causality between the number of deposits/loan accounts and gross domestic product. The results obtained favor social banking experiments in India with a deepening of banking institutions.

This study is limited to the banking institutions and specifically to the emerging and developing economies.

This study analyzes the quantitative value of social banking experiments and governments’ efforts to enhance financial inclusion in terms of economic growth.

Financial inclusion plays a key role in developing a strong and an efficient financial infrastructure, which facilitates the growth of an economy. The findings of the study reveal that there is a strong association between banking penetration and growth. The discussion leads in the favor of deepening of the banking institutions, and therefore, policymakers can look forward to these findings to maintain a sustainable-inclusive-developed economic system in an emerging economy like India.

This study is original in nature and includes recent evidence and efforts to promote financial inclusion in the Indian economy. The findings of this study will be of value to banks and policymakers.

Advanced bibliometric methods have emerged as key tools in mapping the history and trends of a discipline. This paper aims to demonstrate on applying various bibliometric methods to track a journal’s impact and review its knowledge contribution. In doing so, the authors take the case of IIMB Management Review (IMR) journal focused on management discipline, in consideration of its 10 years of publication presence.

Using bibliometric and Scopus metric methods, the authors map and analyze the productivity of IMR Journal and map its knowledge contributions.

The authors identify the IMR journal’s impact, its growth, the most prolific authors/affiliations, key research hotspots, cross-country collaboration and emerging trends over the past decade.

A 10-year longitudinal review helps the target group identify the main themes. It also provides key empirical insights to the journal editorial board and library managers for future planning and growth of the journal.