The recent economic crisis showed that effective use of resources is more important than ever for the sustainability of companies. Inter-organizational cooperation by sharing limited resources is foreseen as a good opportunity to achieve further efficiency in operations that companies require to stay competitive in a global economy. However, up to now, very little quantitative insights and tools have been developed for managers that can help them in establishing such collaboration. In this research, the focus is on the difficulties in collaboration of manufacturing and service systems from an economic point of view using the techniques developed in the domain of Game Theory and Operations Research. The study explores the conditions for the potential benefits to be sufficient for forming stable coalitions and how it can be allocated in a fair fashion.
By studying the formal games of cooperation in service and production systems, the research derived the economic conditions under which stable coalitions can be formed. More interestingly, it can be shown that, under these conditions, one can calculate stable prices for the shared resources, which can be used to fairly compensate the cooperating parties for sharing their resources. These results provide important managerial insights that will help the practitioners to form sustainable collaboration by devising tools and rules for a stable and fair allocation of benefits.
The study, “On the Core of m-Attribute Games” by Ulas Ozen, Marco Slikker, Greys Sosic was published online by Productions and Operations Management, Wiley (ABDC-A*& SJR-Q1; Listed in 2021 Financial Times’ Top 50 Journals).
Ulas Ozen is a faculty in the area of Operations and received Ph. D from Eindhoven University of Technology University
Retailers faced with uncertain demand for their merchandise need to plan their stock levels carefully. Due to the uncertainty of customer demand, the stock-outs may occur even if the retailers manage their stocks in the most cost-efficient manner. During these stock-out periods, retailers may sometimes choose to decline the requests from customers who are willing to wait for the product to be delivered later. This study identifies the ranges for various inventory-related costs which make the partial acceptance of customer demand a preferable strategy for a retailer. It also finds that this partial demand acceptance approach may be a good alternative to the use of dual sourcing in which an emergency supplier makes fast deliveries.
The study, “Coping with demand uncertainty: The interplay between dual-sourcing and endogenous partial back ordering”, by Y. Xu, D.A. Serel, A. Bisi, M. Dada was published online by Productions and Operations Management, Wiley (ABDC-A*& SJR-Q1; Listed in Financial Times’ 2021 Top 50 Journals),
D A Serel is a faculty in the area of Operations and received Ph. D from Purdue University.
Online social network (OSN) platforms are extensively used for communication using messages, posts, blogs, and tweets. The OSNs incorporate certain privacy protection features which allow the users to manage the reach of their posted information. This study explores the effect of demography, motivations, and experiences of OSNs, on the use of such privacy protection features by Indian social network users. The study used a questionnaire-based online survey to collect responses from 392 OSN users from India. The results from the study suggest that users’ concern and their experiences with mediating technology, rather than their demographic factors, motivate them to implement the OSNs’ privacy protection features. The study offers newer insights to OSN platforms for redesigning their strategies toward safeguarding the privacy of their users.
The study “Understanding the Factors that Influence Adoption of Privacy Protection Features in Online Social Networks” by Deepesh Kumar Srivastava and Basav Roy Choudhury was published online by Journal of Global Information Technology Management, Taylor and Francis (ABDC-B&SJR-Q2)
Deepesh Kumar Srivastava is a faculty in the area of Decision Sciences and received Ph. D from IIM Shillong.
How employees think and relate to their jobs is a significant area of interest to scholars and practitioners in the organizational change management domain. This current study examines the role of leader-member exchange (LMX) quality on individual resistance to change (RTC) in the context of mergers and acquisitions. The study highlights the importance of LMX in curbing workplace deviant employee outcomes in the organization. The study suggests that organizational communication in the form of dissent expression is an important predictor of individual dispositional characteristics that consequently influence employee actions. The study suggests that communication forms such as dissent expression as a tool for managers for building high-quality LMX within the workplace and engaging employees to receive actual feedback in the overall scheme of business management.
The study, “A moderated –mediation approach to LMX outcome relationship in M&A by Arbind Samal, Devjani Chatterjee was published online by Journal of General Management, Sage Publications (ABDC-B &SJR-Q3).
Arbind Samal is a faculty in the area of Human Resources and received Ph. D from IIM Kashipur.
Policy uncertainty and its repercussions on the financial system and economy have recently gained considerable attention in the literature. This research investigates the behavior of analyst earnings forecast error in response to policy uncertainty. The study observes that the accuracy of analyst forecasts is compromised at times of increased economic policy uncertainty when market volatility and information opacity are high. This negative association between policy uncertainty and earnings forecast accuracy is alleviated in firms where good CSR practices are in place. The study document that CSR plays a stabilizing role by moderating analyst forecast error.
The study, “Doing good in periods of high uncertainty: Economic policy uncertainty, corporate social responsibility, and analyst forecast error “, by Salim Chahine, Mai Daher, Samer Saade was published online by Journal of Financial Stability, Elsevier (ABDC-A & SJR-Q1), Vol 56, Oct 2021.
Samer Saade is a faculty in the area of Accounting & Finance and received Ph. D from IAE-Universite Pierre Mendes, France.
This study identifies the impact of self-expressiveness and environmental commitment on sustainable consumption behavior. The study tested the relationship among self-expressiveness (SE), environmental commitment (EC), psychological ownership (PO), social influence (SI), fashion consciousness (FC), and sustainable consumption behavior (SCB) in the context of the apparel industry. An increase in self-expressiveness and environmental commitment enhances SCB. The study documents the role of fashion consciousness as a moderator between self-expressiveness and sustainable consumer behavior via psychological ownership.
The study, “Impact of self-expressiveness and environmental commitment on sustainable consumption behavior: the moderating role of fashion consciousness” by Sita Mishra, Gunjan Malhotra, Ravi Chatterjee & Yupal Sanatkumar Shukla was published online by Journal of Strategic Marketing, Taylor & Francis (ABDC-A & SJR-Q2).
Ravi Chatterjee is a faculty in the area of Marketing and received Ph. D from Barkatullah University, Bhopal.
With the rising challenges related to social, economic, and climatic factors, the focus toward adoption of sustainable products is rising. Increasing focus on sustainable products, has influenced the consumer shopping behavior toward greener products. The consumers’ participation shown toward sustainable products is what defines their behavior toward its purchase. Understanding of sustainable consumption in emerging markets is still unexplored which calls for further research. A structured questionnaire was used to collect data from the millennials who belong to the working population of India and have awareness regarding sustainable products and its impact on the environment. The results show that there is a direct relationship between environment self-identity (ESI) and the intention to purchase a sustainable product (PI). Psychological ownership (PO) also plays a role of a partial mediator for the relationship between SI and PI. Environment Concern (EC) and social influence (Soc) are critical factors; their relationship also matters to comprehend the results concretely.
The study, “Millennials’ Self-Identity and Intention to Purchase Sustainable Products” by Sita Mishra, Yupal Sanatkumar Shukla, Gunjan Malhotra, Ravi Chatterjee & Jyoti Rana was published online by Australasian Marketing Journal, Sage Publications, (ABDC-A & SJR-Q2).
Using a panel of United States counties, this study compares outcomes before and during the 2020–2021 school year between locations that started K-12 instruction on campus, remotely, or through a hybrid approach. Corroborating recent studies, the study finds comparatively larger increases of COVID-19 cases and deaths in locations using any in-person instruction. Within the same empirical framework, robust new evidence suggest that employment was unaffected by this choice, even in counties with more vulnerable populations. The results suggest that opening schools did not improve employment due to policy uncertainty, supported by the fact that one-quarter of schools changed teaching methods mid-year.
The study” School reopenings, COVID-19 and employment” by Vijetha Koppa and Jeremy West was published by Economic Letters, Elsevier, Vol 212, March 2022 (ABDC-A & SJR Q2)
Vijetha Koppa is a faculty in the area of Economics and received Ph.D. from Texas A&M University
Profile matching of a person using various online social networks is a non-trivial task. Major challenges in developing a reliable and scalable matching scheme include the non-availability of the required information or having contradictory information for the same user across these networks. This study proposes a method that utilizes the contents generated by or shared with users across their online social networks. With the help of text mining techniques, the study extracts the high frequency words and common high frequency words in the user’s posts/tweets (content attributes). Based on experiments with real datasets, this method provides 72.5% accuracy in identity matching amongst user’s profiles. Given the data, this study develops classification models, and achieved accuracy and F1 score of 72.5% and 67.0%, respectively. This study will be helpful to enhance the accuracy of the identity resolution frameworks.
The study” Profile matching of online users across multiple social networks: A text mining approach” by Deepesh Kumar Srivastava and Basav Roychoudhury was published by International Journal of Enterprise Network Management, Inderscience,2022 Vol.13 No.1, pp.19 – 36.
Deepesh Kumar Srivastava is a faculty in the area of Decision Sciences and received Ph. D from IIM Shillong
The Covid-19 crisis doesn’t seem to affect the remittances of the region in the past year, but experts are expecting a negative impact in the future. Thus, the current examination is the first inference wherein the authors have tried to predict the remittances inflow of the region comprising India, Pakistan, Sri Lanka, Bangladesh, Nepal, Bhutan, and Afghanistan from 2020 to 2030 using a Box–Jenkins ARIMA-based model on the data collected from 1980–2019 and accordingly make recommendations to the policymakers. The findings revealed that remittances inflow were 2.28 percent of GDP at the end of 1980 on an average basis, then climbed to 4.70 percent of GDP by 2013, but are expected to remain constant at around 3.79 percent of GDP during 2020–2030, thereby proving remittance inflows of the region to be resilient during the period under consideration.
The study “Are the remittance receipts of the South-Asian region resilient to the Covid-19 crisis? A peek into the future through the past” by Imran Khan, Mohammad Anam Akhtar was published online by Journal of Sustainable Finance and Investment, Taylor & Francis Online. (Scopus Indexed& SJR-Q2)
Mohammad Anam Akhtar is a faculty in the area of Accounting and Finance and received Ph.D. from National Institute of technology, Allahabad.
This paper investigates the role of Fibonacci retracements levels, a popular technical analysis indicator, in predicting stock prices of leading U.S. energy companies and energy cryptocurrencies. The study methodology focuses on applying Fibonacci retracements as a system compared with the buy-and-hold. The findings revealed that Fibonacci retracement captures energy stock price changes better than cryptos. Furthermore, most price violations were frequent during price falls compared to price increases, supporting that the Fibonacci instrument does not capture price movements during up and downtrends, respectively. This study’s overall findings elucidate that, despite significant drops in oil prices, speculators (traders) can implement profitable strategies when using technical analysis indicators, like the Fibonacci retracement tool, with or without price crossover rules.
The study “, Energy crypto currencies and leading U.S. energy stock prices: are Fibonacci retracements profitable?” by Ikhlaas Gurrib, Mohammad Nourani ,Rajesh Kumar was published online by Financial Innovation ,Springer (Scopus Indexed & SJR-Q1)
Rajesh Kumar is a faculty in the area of Accounting and Finance and received Ph.D. from Indian Institute of Technology , Kharagpur.
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