Non-coercive influence: Scale development and validation based on resource and relational paradigms

To overcome competition in an increasingly network dependent market, retailers are required to influence upstream channel partners while sustaining relationships. However, the contemporary supply chain literature has not sufficiently leveraged the resource and relational paradigms to examine influence. Grounded on resource dependency theory and commitment-trust theory paradigms, this study describes conceptualization and operationalization of a 12-item scale for measuring non-coercive influence on upstream channel partners in retail supply chain management (R-SCM) context. The study is based on responses from 547 retail professionals in India obtained over four successive surveys. Psychometric properties were assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The proposed scale demonstrates construct validity. Invariance-testing carried out over 4-levels of increasingly demanding equivalence confirmed cross-validation. Nomological validity of the scale was tested by evaluating association with suppliers’ intention to cooperate. The results indicate existence of three dimensions of non-coercive influence: collaborative intent, market intelligence dissemination, and operational support. Retailers can use the scale to assess their personnel's non-coercive influence behavior over suppliers.     

Productivity,Energy Intensity and Output: A Unit Level Analysis of the Indian Manufacturing Sector

Journal of Quantitative Economics - The objective of this study is to calculate total factor productivity and determine factors related to energy intensity for the pre-existing manufacturing plants...     

Circular economy and the policy: A framework for improving the corporate environmental management in supply chains

The transition to the circular economy (CE) creates value through the closed-loop systems, reverse logistics, product life cycle management, and clean production in terms of corporate environmental management. During this transition process, the organization faces many barriers such as financial, organizational, technology-based, social, policy-related, market-based, and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further, this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings, lack of legislation for efficient CE (C4), lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17), and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers, respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor, whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards, improving communication among stakeholders, the government's perception of CE and current linear economy, cooperation with nongovernmental organization (NGOs) and civil actions, the vision of government towards circular principles, the circular public procurement, the local governments in circular policymaking, and awareness of bureaucracy and government officials.     

Critical success factors determining performance of cross‐border acquisition: Evidence from the African telecom market

This study investigates the factors affecting Bharti Airtel's cross‐border postacquisition performance in an African market. This study describes the relationships among various factors such as technical capability, affiliated firm's absorptive capacity, and organizational learning capabilities, which determine the successful operations of the Zain acquisition deal in South Africa. This paper adopts a qualitative approach to identify factors that influence the postacquisition performance. Seven factors are identified based on the literature. Consequently, it has become a necessity to encapsulate these factors in suitable proportions. In this study, we have developed a total interpretive structural modeling (TISM) to analyze the postacquisition performance of Bharti Airtel in South Africa. Our research has highlighted six dynamic factors (organizational learning capability, knowledge management, technology capability, technology relatedness, acquirer's absorptive capacity, and national culture difference) that affect the firm's postacquisition performance. The interpretive structural model (ISM) and total interpretive structural model for postacquisition performance are built‐up. The developed TISM will support academics and practitioners to develop their understanding of acquisition performance of parent companies in the context of telecom business in the South African market.     

Off‐Farm Work,Intensity of Government Payments,and Farm Exits: Evidence from a National Survey in the United States

The last three decades have witnessed the continued exit of households from primary agriculture in the United States, where the average annual gross exit rate has averaged 10% per year. Understanding exit behavior is one key to future farm structure, management of abandoned land, depopulation of rural areas, and agricultural policy, including government program payments. This study empirically estimates the determinants of exit decisions of farm households. Particular attention is given to the roles of intensity of government payments and off‐farm work decisions of farm couples in the exit decision. Using a large farm‐level survey and controlling for endogeneity, results indicate that farm households with reduced intensity of government payments are more likely to exit farming. Households where the operator spouse works off the farm are more likely to exit farming. Additionally, households with older farmers, with the farm operator and spouse raised on a farm, and households operating farms located in Northern Great Plains are more likely to exit farming.     

Impact of Payment Technology on Seasonality of Currency in Circulation: Evidence from the USA and India

Journal of Quantitative Economics - This paper examines the impact of payment technology on seasonality in currency in circulation. We specify that total transaction in a period follows a Gompertz...     

Trade Size Preference of Informed Traders in Indian Equity Markets

This study utilized high frequency transactions data to analyze the trade size preference of informed traders in Indian equity markets. It is observed that informed traders at an aggregate level adopt stealth trading strategy, wherein they prefer medium sized trades over large sized trades in order to camouflage their private information. However, the stealth trading behavior varies across stocks, wherein informed traders prefer more large sized trades on firms that are part of an index compared to non-index firms. Trading behavior also varies across other market conditions. It has been noted that informed traders prefer large sized trades during periods of high market thickness, negative returns, and low volatility. This study also provides a rationale for such varied behavior of informed traders.     

The impact of crude oil inventory announcements on prices: Evidence from derivatives markets

This study examines the impact of weekly crude oil storage announcements on oil futures and options prices. We document evidence of a strong announcement day effect on both markets, and find prices to move in anticipation of the inventory surprise. Futures returns significantly decrease with positive surprises and increase with negative surprises. There is no evidence of an asymmetric impact on futures prices. Near‐the‐money options exhibit the greatest price sensitivity, and the magnitude of the price response of both futures and options declines with maturity. The results remain robust even after controlling for various macroeconomic and other storage‐related news variables.