Impact of patenting on firms' performance: an empirical investigation based on manufacturing firms in India

The study aims to estimate the impact of R&D expenditure and patenting on the performance of firms using productivity, profitability and Tobin's q ratio as the performance indicators. The study uses firm-level data of 489 high- and medium-technology firms during the period of 2000–2010. We employ relatively a new source of data particularly in the context of India, firm-level patent granted, that has not been explored earlier. The study finds that firms patenting result in productivity improvement of firms, whereas R&D expenditure does not. The study further finds the evidence of positive impact of patenting on financial performance of firm with significant differences between foreign and domestic firms.     

Supply chain analysis of e-tailing versus retailing operation – a case study

The swift growth of e-commerce or e-tailing as a consumer retail channel has made it a serious competitor to traditional retail channels and is changing consumers’ purchasing behaviour. The purpose of this case study, based on Target and Amazon.com, is to analyse the attributes of traditional retailing, e-tailing, and hybrid supply chain models to form conclusions about the feasibility of an idealised supply chain model for the future. An integrated and generalised modelling framework is used that incorporates Six Sigma – define, measure, analyse, improve, control methodology leveraging various tools, including process flow maps, cause and effect diagram, performance efficiency metrics, failure mode and effects analysis (FMEA), and Monte Carlo simulation. Based on this analysis and research, the conclusion is that the idealised supply chain of the future may evolve into a hybrid supply chain, which includes both e-tail and retail channels. The main recommendations from this study include assessing the risks of migrating to such a hybrid supply chain and to leverage the recommended actions provided in the hybrid FMEA. To facilitate more effective and mature processes, this study can guide researchers in exhaustive empirical evaluations of hybrid supply chains, gather experiences and lessons learned for practitioners.     

Green supplier selection: a new genetic/immune strategy with industrial application

With the onset of the ‘climate change movement’, organisations are striving to include environmental criteria into the supplier selection process. This article hybridises a Green Data Envelopment Analysis (GDEA)-based approach with a new Genetic/Immune Strategy for Data Envelopment Analysis (GIS-DEA). A GIS-DEA approach provides a different view to solving multi-criteria decision making problems using data envelopment analysis (DEA) by considering DEA as a multi-objective optimisation problem with efficiency as one objective and proximity of solution to decision makers’ preferences as the other objective. The hybrid approach called GIS-GDEA is applied here to a well-known automobile spare parts manufacturer in India and the results presented. User validation developed based on specific set of criteria suggests that the supplier selection process with GIS-GDEA is more practical than other approaches in a current industrial scenario with multiple decision makers.     

The Evolving Shareholder Activist Landscape (How Companies Can Prepare for It)

Shareholder activists remain an important force in the boardroom. More than 60 activist campaigns were initiated against S&P 1500 companies in 2016. And although activist hedge funds have under‐performed the broad market since 2013, activists’ assets under management are still nearly double their level of four years ago, and announcements of their campaigns continue to be met with increases in the target companies’ stock prices. At the same time, shareholder activism continues to evolve in constructive ways. Most important is the growing support of mainstream investors, as reflected in the increased backing of activist proposals by traditional institutional asset managers and the falling number of openly confrontational campaigns. Activists have also had continued success in gaining board representation, particularly at the largest target companies. And more board seats are being gained by activists in early settlements, which have also been associated with higher stock returns than those campaigns that resulted in later settlements or ended in a proxy contest. During the period 2006–2016, over 40% of activist campaigns made public demands for specific strategic actions, such as selling assets, spinning off divisions, or seeking buyers for the companies. And activist investors have been remarkably effective in accomplishing such changes in that those activist targets urged to seek buyers were four times more likely to be acquired than the average company. At the same time, a growing number of campaigns have focused on operating efficiency, capital allocation, business strategy, and other changes that often require longterm engagement. Perhaps because of their longer‐term focus, such campaigns have also more been likely to result in board seats for the activists. The authors' findings contain a number of messages for corporate managements and boards: listen to your shareholders, and assess your strengths and vulnerabilities through an activist's eyes; build an effective board; articulate your strategy clearly; consider the possibility of activist intervention when planning M&A transactions; and engage early when approached by an activist.     

Economic policy uncertainty and financial statement comparability

We examine the implications of economic policy uncertainty (EPU) for financial statement comparability. We posit that the increased difficulty of estimating future cash flows and the increased opportunity for earnings management with increased EPU reduce the quality of earnings and its comparability. Consistent with this reasoning, we find a negative relation between earnings comparability and lagged EPU. Further, the association between EPU and comparability is more negative for firms that have poorer accruals quality and higher earnings volatility. We do not find that accounting policy choice is systematically related to the association between EPU and comparability. These results suggest that cross-sectional differences in accounting estimates rather than accounting policies influence the relation between EPU and comparability.     

Experiments in farmers' collectives in Eastern India and Nepal: Process,benefits, and challenges

Do farmers' collectives, which pool land, labour, capital, and skills to create medium‐sized production units, offer a more viable model of farming for resource‐constrained smallholders than individual family farms? A participatory action research project in Eastern India and Nepal provides notable answers. Groups of marginal and tenant farmers, catalysed by the project, evolved into four different collective models with varying levels of cooperation, gender composition, and land ownership/tenancy status. Based on 3 years of action research, this paper examines how the models evolved and their differential outcomes. All groups have gained from cultivating contiguous plots in their efficiency of labour and machine use for land preparation and irrigation, and from economies in input purchase. Several collectives of tenant farmers have also enhanced their bargaining power vis‐a‐vis an entrenched landlord class and thus been able to negotiate lower rents and refuse long‐standing feudal obligations. However, the models differ in their extent of economic gain and their ability to handle gender inequalities and conflicts over labour sharing. The paper explores the historical, regional, and cultural factors that could explain such differences across the models. It thus offers unique insights into the processes, benefits, and challenges of farmers' collectives and provides pointers for replication and further research.     

Simultaneous estimation of hazard rates of several exponential populations

Suppose independent random samples are drawn from k (2) populations with a common location parameter and unequal scale parameters. We consider the problem of estimating simultaneously the hazard rates of these populations. The analogues of the maximum likelihood (ML), uniformly minimum variance unbiased (UMVU) and the best scale equivariant (BSE) estimators for the one population case are improved using Rao‐Blackwellization. The improved version of the BSE estimator is shown to be the best among these estimators. Finally, a class of estimators that dominates this improved estimator is obtained using the differential inequality approach.