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The purpose of this paper is to conceptualize a model for fostering innovation in marketing by virtue of the competitiveness that is an outcome of the collaboration between international and local firms working together in emerging markets.

The authors use the case of an international brand and local firms in an emerging economy to illustrate and support the proposed framework.

The extant literature on competitiveness advocates the fit between business partners in association based on mutual value creation. This paper adopts a resource‐based view to support this approach. It contributes to knowledge about emerging markets by reflecting on the benefits gained by both international firms and local firms that are based in emerging markets as partners in association for business purposes.

The study draws on managerial practices and existing literature to develop a conceptual framework that explains how a resource‐based association drives individual competitiveness, and how the integration of the competitiveness of both partners facilitates innovation in marketing.

This study uses a resource‐based view to explain the relationship between an international brand and its resellers in emerging markets. It contributes to the business‐to‐business marketing literature that discusses innovation as an important outcome of collaboration between international firms and their local business customer firms in emerging markets.

State‐owned enterprises (SOEs), in general, have not been successful. Their indifferent performance has been at the center of the debate about the role of the state in the economy. To economists, the performance of SOEs is evidence of what is wrong with state intervention. And in recent years privatization has increasingly been regarded as the only way of improving the performance of SOEs. Yet, while unsuccessful SOEs abound, a few high‐performing SOEs such as POSCO (South Korea), Airbus Industrie (France), EMBRAER (Brazil), and MUL (India) can also be found.

Since the onset of globalisation, many multinational corporations (MNCs) have been increasingly opening up subsidiaries in several host nations. While the entry of MNCs in some nations has been generally unproblematic, that has not been the case in every host nation. Fears of neocolonialism and postcolonial anxieties are very real phenomena in many parts of the world. When it comes to such resistant environments, MNCs need to be especially careful in how they conduct their public relations activities. This qualitative study of two MNC subsidiaries in India – Hindustan Lever Limited (of Unilever) and Maruti Udyog Limited (of Suzuki Motor Corporation) – explores, in context, the phenomenon of MNC public relations in this host nation that has a history of resistance to MNCs. The authors conclude that MNCs can be successful in potentially resistant host environments through culturally attuned involvement, intervention and respect for the local that is proven through socially responsible performance over time. This is an important message for MNCs starting up in new host environments. Descriptive details elucidate the specific public relations activities of the two MNCs in the Indian business and cultural environment. Overall, the findings have heuristic value for transnational public relations theory building since they suggest that an MNC’s organisational culture and approach to communication and relationship cultivation are important variables that shape how it practises public relations in host nations around the world.

Fear grips stock markets when a pandemic like COVID-19 strikes, severely affecting stock prices. However, fundamental value drivers of companies do not change drastically during pandemics. The sensitivity of firms' cash flows to lockdowns during pandemics depends on their cost structure. This paper develops a financial model incorporating information about value drivers and lockdown sensitivity of companies to find the enterprise value.

The authors develop a financial model that estimates the effects of COVID-19 on enterprise value and helps to identify wrongly valued stocks. The authors apply the model to five Indian stocks from five different industries to study how firms belonging to various sectors get affected differently in this pandemic.

Companies belonging to civil aviation and retail sectors get more affected by COVID-19 compared to those in movie exhibition, automobile and hotel industries. The cost structure of the latter category of firms reduces their cash flow effect.

The model can be used by practitioners to understand any pandemic's effect on stock prices. Also, it explains how firms having different cost structures get affected by any crisis and help investors in taking appropriate buy/sell decisions.

The study has two contributions: first, the authors develop a financial model to estimate the effect of COVID-19 on the enterprise value. Second, contrary to popular perception, the authors find companies belonging to movie exhibition, hotel and automobile industries do not get that severely affected.

This paper aims to present strategic performance management modeling of the Indian automobile manufacturing enterprises. This will help to understand the hierarchical structure and linkages of different strategic factors related to enterprise performance in a better way. Automobile manufacturing industry is one of the top industries in India. It is of paramount importance to identify the strategic factors and their linkages to understand the strategic performance management issues better.

Flexible strategy game-card, an evolving performance management framework, has been taken as the basis for the development of a strategic performance management model. Thematic content analysis is used to analyze semi-structured interviews and for identifying strategic factors related to performance. Total interpretive structural modeling (TISM) is used to develop the hierarchical structure of these performance strategic factors. Case-lets and statistical analysis are used to further validate these models.

The study proposes a strategic performance management model for Indian automobile enterprises that can be considered as a conceptual framework which helps to identify the leading and lagging factors of performance. This can be considered as an exploratory study for conceptualization and can be further validated through empirical testing.

The research methodology adopted here gives a guideline to researchers for conducting an exploratory study where they can identify the factors/variables of interest through semi-structured interviews and thematic content analysis. The TISM helps to develop the poorly articulated mental model in a well-structured hierarchical form, which would help to get more insights in relation to performance.

The study fills the gaps by addressing the issue of performance in the Indian context by identifying strategic performance factors for automobile enterprises. There is an attempt to demonstrate the application of an evolving performance management framework, i.e. flexible strategy game-card. The methodological rigor and application of mixed methods adds value to the knowledge base by providing a mechanism to conduct an exploratory study for the area of interest.

The present communication aims to investigate the influence of cobalt substitution on the structural, mechanical and elastic properties of nickel–zinc ferrite thick films. The changes observed in the crystallite size (D), lattice constant (a), texture coefficient [TC(hkl)] and mechanical and elastic properties of the thick films due to cobalt substitution have been reported systematically.

Ni–Zn ferrites with the stoichiometric formula Ni_0.7−xCo_xZn_0.3Fe₂O₄ (where, x = 0, 0.04, 0.08, 0.12, 0.16 and 0.20) were synthesized via solution combustion technique using sucrose as the fuel and poly-vinyl-alcohol as the matrix material. The thick films of the ferrites were fabricated on alumina substrates by the screen printing method. The thickness of the films was 25 μm, as measured by the gravimetric method. The thick films were subjected to X-ray diffraction and Fourier transform infrared spectroscopy.

The detailed study of variation of lattice parameter (a), sintering density, micro-strain and elastic properties with cobalt (Co+2) substituted was carried out. The remarkable increase in lattice parameter (from 8.369 A^° to 8.3825 A^°), bulk density and average grain size (69-119 nm) with the cobalt content was due to larger ionic radius of Co²⁺ compared to Ni²⁺. Texture analysis [TC(hkl)] reveals all thick films have adequate grain growth in the (311) plane direction. The main absorption bands of spinel ferrite have appeared through infrared absorption spectra recorded in the range of 300-700 cm⁻¹.

The variation in stiffness constants (for isotropic material, C11 = C12), longitudinal elastic wave (Vl), transverse elastic wave (Vt), mean elastic velocity (VMean), rigidity modulus (G), Poisson’s ratio(s) and Young’s modulus (E) with cobalt (Co+2) composition has been interpreted in terms of binding forces found.

This study proposes a methodology based on data source triangulation to measure the “strategic fit” for the automotive supply chain.

At first, the authors measured the responsiveness of the Indian automobile supply chain, encompassing the top ten major automobile manufacturers, using both sentiment and conjoint analysis. Second, the authors used data envelopment analysis to identify the frontiers of their supply chain. The authors also measured the supply chain's efficiency, using the balance sheet. Further, the authors analyzed the “strategic fit” zone and discussed the results.

The results indicate that both the proposed methods yield similar outcomes in terms of strategic fitment.

The study outcomes facilitate measuring the strategic fit, thereby leveraging the resources available to align. The methodology proposed is both easy to use and practice. The methodology eases time and costs by eliminating hiring agencies to appraise the strategic fit. This valuable method to measure strategic fit can be considered feedback for strategic actions. This methodology could also be incorporated possibly as an operative measurement and control tool.

Data triangulation meaningfully enhances the accuracy and reliability of the analyses of strategic fit. Data triangulation leads to actionable insights relevant to top managers and strategic positioning of top managers within a supply chain.

This study aims to develop two sentiment indices sourced from news stories and corporate disclosures of the firms in the National Stock Exchange NIFTY 50 Index by extracting sentiment polarity. Subsequently, the two indices would be compared for the predictive accuracy of the stock market and stock returns during the post-digitization period 2011–2018. Based on the findings this paper suggests various options for financial strategy.

The news- and disclosure-based sentiment indices are developed using sentiment polarity extracted from qualitative content from news and corporate disclosures, respectively, using qualitative analysis tool “N-Vivo.” The indices developed are compared for stock market predictability using quantitative regression techniques. Thus, the study is conducted using both qualitative data and tools and quantitative techniques.

This study shows that the investor is more magnetized to news than towards corporate disclosures though disclosures contain both qualitative as well as quantitative information on the fundamentals of a firm. This study is extended to sectoral indices, and the results show that specific sectoral news impacts sectoral indices intensely over market news. It is found that the market discounts information in disclosures prior to its release. As disclosures in quarterly statements are delayed information input, firms can use voluntary disclosures to reduce the communication gap with investors by using the internet. Managers would do so only when the stock price is undervalued and tend to ignore the market and the shareholder in other cases. Otherwise, disclosure sentiment attracts only long horizon traders.

Finance managers need to improve disclosure dependence on investors by innovative disclosure methodologies irrespective of the ruling market price. In this context, future studies on investor sentiment would be interesting as they need to capture man–machine interactions reflected in market sentiment showing the interplay of human biases with machine-driven decisions. The findings would be useful in developing the financial strategy for protecting firm value.

This study is unique in providing a comparative analysis of sentiment extracted from news and corporate disclosures for explaining the stock market direction and stock returns and contributes to the behavioral finance literature.

This study aims to investigate the impact of a salesperson’s psychological capital (PsyCap) on sales performance through the interplay of work engagement and performance feedback. This study examines the role of thought self-leadership (TSL) as an antecedent of a salesperson’s PsyCap.

Grounded in the social cognitive theory and job demands–resources theory, a hypothesized model is proposed. To test the hypothesized model, data on sales professionals were collected from B2B sales organizations, and a structural equation model was used to test the hypotheses.

The results demonstrate that TSL drives PsyCap in salespeople. The results also suggest an interesting relationship between salesperson’s PsyCap and their sales performance through work engagement as a mediator for PsyCap and sales performance. The moderating effect of performance feedback on work engagement was not significant and thus counterintuitive.

The results suggest that organizations should invest in training to develop the TSL of their salesforce, which will lead to enhanced performance through personal resources such as PsyCap. Further, the findings have implications for sales organization designs and structure.

This study augments the extant information on the linkage between a salesperson’s PsyCap and sales performance by suggesting mediation mechanisms and proposing an integrated framework with work engagement. Further, the authors establish TSL as an important cognitive mechanism to strengthen PsyCap in salespeople.

The purpose of teh paper is to Explore why MNCs are not able to compete in Indian automobile industry and have very minimal market share.

Its a view point based on market intelligence.

In the circumstances where India consumers have abundant bargaining power due to the access to variety of products available in the same range, by different manufacturers, the MNCs can compete in the Indian market only by adopting local strategy and understanding local mindset of the customers.

The study suggest that the MNCs can compete in the Indian market only by adopting local strategy and understanding local mindset of the customers.

Its quite useful for MNCs planning to explore Indian automobile market.

India has allowed 100 per cent FDI in Automobile sector. If MNCs strategically plan to cater to teh Indian consumers, that can help us upgrade technology and provide employment o our countrymen.

Its a viewpoint.