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This paper presents a model designed to evaluate the competitiveness potential of the Latin American countries and to compare the resulting rankings with the four more widely used assessment measures of a country's competitiveness, which will in turn influence its market attractiveness for investment purposes. Included here are those produced by the World Competitiveness Report, Euromoney, Institutional Investor and the Human Development Report. The proposed model is meant to assist businesses and governments in making investment location decisions for the Latin American countries.

Analyses an n‐unit cold‐standby system with a single repair facility under the assumption that the failure and repair times are arbitrarily distributed. Develops a mathematical model using semi‐regenerative processes. Obtains a system of integral equations satisfied by various state probabilities corresponding to different initial conditions. Obtains explicit expressions for the expected number of failures and expected number of visits to down state in a specified interval of time. Discusses two special cases when either the failure or repair rate is constant. Analyses numerically and compares particular cases with one, two and three units by assuming Weibull distribution for failure time and normal distribution for repair time.

The purpose of this paper is to explore the reliability and sensitivity analysis of a system with M primary units, W standby units, and one repair facility when switching to primary units may fail.

Failure times of primary and standby units are assumed to have exponential distributions, and repair times of the failed units are also assumed to have an exponential distribution. Different failure rates and switching failure probabilities are given depending on the readiness states of standby units, designated hot, warm, or cold. The Laplace transform technique is used to transform a set of ordinary differential equations to a set of equations. After finding the solution, we can obtain the desired measures in the time domain by using the inverse Laplace transform.

Expressions for system reliability and mean time to failure (MTTF) are derived. Sensitivity analysis of the system reliability and the MTTF with respect to system parameters are investigated.

This paper presents the first time that a contour of the MTTF with respect to standby states has been obtained, which is quite useful for the decision makers.

The purpose of this paper is to examine the impact of real effective exchange rates (REER), both in terms of levels and volatility, on the export performance of India’s sub-national economies, given the recent slowdown in India’s exports.

India’s export distribution is highly asymmetric, with 90 percent of India’s exports concentrated in 11 sub-national economies. Exploiting this concentration, this paper constructs a panel data set using available data between 2002 and 2014 to understand the relationship between REER and exports from the top exporting cluster. Moreover, the paper constructs a sub-national competitiveness index to capture the supply capacity of the states.

The empirical findings of this paper reveal that a higher REER volatility deters exports and movements in REER do not matter as much as volatility. The most significant finding of the paper is that state competitiveness is the most crucial factor affecting trade. Therefore, policy makers at the state level must lay more emphasis on the supply side such as addressing logistical bottlenecks to help revive exports growth.

This study makes a departure from the plethora of extant aggregate-level studies by examining the relationship between REER and exports at the sub-national level for India. Considering the highly skewed distribution of India’s exports, the study provides important insights into the exporting patterns and determinants that are at play at the sub-national level.

This study aims to examine the relationship between work-family conflict (WFC) and personal self-efficacy among career persistent women in India. Further, this relationship was explained with the help of the mediating role of perceived managerial support.

Survey data were collected from 510 career persistent women working in the Information Technology (IT) sector in India. The data were analyzed using structural equation modeling and mediation was tested using Process- Macro.

Findings depicted a positive relationship between WFC and professional self-efficacy demand and self-efficacy challenges. Perceived managerial support was also found to be positively related professional self-efficacy. Furthermore, perceived managerial support was found to have a significant mediating effect in WFC and professional self-efficacy relationships.

Findings of the study may enhance the understanding of WFC in emerging economies, as most of the research has been done in the western context. Findings of the study are crucial, as it highlights the relationship between WFC and professional self-efficacy in the presence of perceived managerial support. Moreover, the paper uniquely discusses the role of WFC in professional self-efficacy among career persistent women in IT sector.

Using a large sample of diversified firms from 38 countries we investigate the influence of several national-level institutional factors or “institutional voids” on the value of corporate diversification. Specifically, we explore whether the presence of frictions in a country’s capital markets, labor markets, and product markets, affects the excess value of diversified firms. We find that the value of diversified firms relative to their single-segment peers is higher in countries with less-efficient capital and labor markets, but find no evidence that product market efficiency affects the relative value of diversification. These results provide support for the theory of internal capital markets that argues that internal capital allocation would be relatively more beneficial in the presence of frictions in the external capital markets. In addition, the results show that diversification can be beneficial in the presence of frictions in the labor market.

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.

The aim of this study is to understand a family firm's choice of related-party transaction (RPT) types and analyze their value impacts to separate the abusive from benign RPTs.

It uses a 10-year panel of BSE-listed 378 family (and 200 non-family) firms. The fixed effects, logit and difference-in-difference (DID) models help examine value effects, propensity and persistence of harmful RPTs.

Loans/guarantees (irrespective of counterparties) destroy firm value. Capital asset RPTs decrease the firm value but enhance value when undertaken with holding parties. Operating RPTs increase firm value and profitability. They improve asset utilization and reduce discretionary expenses (especially when made with controlled entities). Family firms have larger loans/guarantees and capital asset volumes but have smaller operating RPTs than non-family firms. They are less likely to undertake loans/guarantees (and even operating RPTs) and more capital RPTs vis-à-vis non-family firms. Family firms persist with dubious loans/guarantees but hold back beneficial operating RPTs, despite RPTs being in investor cross-hairs amid the Satyam scam.

Rent extractability and counterparty incentives supplement each other. (1) The higher extractability of related-party loans and guarantees (RPLGs) dominates the lower extraction incentives of controlled parties. (2) Holding parties' bringing assets, providing a growth engine and adding value dominate their higher extraction incentives (3) The big gains to the operational efficiency come from operating RPTs with controlled parties, generally operating companies in the family house. (4) Dubious RPTs seem more integral to family firms' choices than non-family firms. (5) Counterparty incentives behind the divergent use of RPTs deserve more research attention. Future studies can give more attention to how family characteristics affect divergent motives behind RPTs.

First, the study does not single out family firms for dubious use of all RPTs. Second, investors, auditors or creditors must pay close attention to RPLGs as a special expropriation mechanism. Third, operating RPTs (and capital RPTs with holding parties) benefit family firms. However, solid procedural safeguards are necessary. Overall, results may help clarify the dilemma Indian regulators face in balancing the abusive and business sides of RPTs.

The study fills the gap by arguing why some RPTs may be dubious or benign and then shows how RPTs' misuse depends on counterparty types. It shows operating RPTs enhance operating efficiencies on several dimensions and that benefits may vary with counterparty types. It also presents the first evidence that family firms favor dubious RPTs more and efficient RPTs less than non-family firms.

This study examines how creditor interventions after debt covenant violations affect corporate tax avoidance. Using a regression discontinuity design, we find that creditor interventions increase borrowers' tax avoidance. This effect is concentrated among firms with weaker shareholder governance before creditor interventions and among those with less bargaining power during subsequent debt renegotiations. Our results indicate that creditors play an active role in shaping corporate tax policy outside of bankruptcy.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.