Hemant K. Singh, Prashant M. Pawar, Ranjan Ganguli and Sung Nam Jung
This study aims to investigate the effects of mass and stiffness imbalance in a tail rotor induced by damage in forward flight.
Abstract
Purpose
This study aims to investigate the effects of mass and stiffness imbalance in a tail rotor induced by damage in forward flight.
Design/methodology/approach
An aeroelastic analysis based on finite element in space and time and capable of modeling dissimilar blades is carried out to study the effect of damage occurring in one, two, and three blades in a four‐bladed tail rotor system in forward flight. The effect of damage growth on vibratory hub loads and blade responses is studied using a comprehensive aeroelastic code.
Findings
The diagnostic chart which is the summary of damage analysis of tail rotor shows that the root hub vibration spectrum gives enough indication to predict damage growth in the tail rotor blade. Hence, this can be useful towards development of health monitoring system for tail rotor blades.
Originality/value
The proposed analysis helps in understanding the basic physics behind the damaged tail rotor and also gives qualitative assessment of damaged tail rotor where obtaining the flight test data with damaged tail rotor is difficult.
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Empirical studies of the shareholder valuation impact of firms’ international joint venture (IJV) participation have usually emphasized firm‐specific factors, but rarely extended…
Abstract
Empirical studies of the shareholder valuation impact of firms’ international joint venture (IJV) participation have usually emphasized firm‐specific factors, but rarely extended their analysis to location‐specific factors. This is a crucial omission because the two sets of factors are interconnected vis‐a‐vis their influence on firms’ performance. Yet, previous work has neither identified how the two sets of factors complement each other nor investigated the effect of these complementarities on the shareholder value of firms who enter into IJVs. This study attempts to fill these gaps. It develops a typology of IJVs and then performs cluster analysis on a sample of 241 equity IJVs. Results indicate eight clusters in the data, including three clusters with positive shareholder value. In deriving support for its six hypotheses, the study highlights both value‐creating and value‐neutral configurations of firm‐ and location‐specific variables.
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Hemant Kumar, Saradindu Bhaduri, Abhinandan Saikia, Mohd Ali and Gautam Sharma
Agriculture innovation systems (AIS) examine the complex socio-technical and institutional aspects affecting sustainable agriculture. However, it is predominantly constrained to…
Abstract
Purpose
Agriculture innovation systems (AIS) examine the complex socio-technical and institutional aspects affecting sustainable agriculture. However, it is predominantly constrained to the formal sector activities in the high-income countries (HICs). The informal sector actors play a major role in the agricultural sector of low- and middle-income countries (LMICs), such as India, by innovating and disseminating grassroots innovations (GI). This study aims to explore the role of different GI, both by the informal and formal sectors, within an emerging AIS focused on seabuckthorn in Ladakh, India.
Design/methodology/approach
This study used a qualitative methodology, using semi-structured interviews and focused group discussions to gather data from the stakeholders involved in seabuckthorn value chain. The data was analysed using the AIS framework’sa priori themes and was validated through data triangulation with secondary sources.
Findings
This study reveals the existence of GI, by both the formal and informal sector actors, and their complex interaction within the seabuckthorn value chain. It highlights the importance of co-existence of these GI to make it a sustainable seabuckthorn AIS.
Practical implications
This study offers noteworthy perspectives for governments, policymakers and agricultural practitioners with respect to the assimilation of GI into AIS. These insights could help improve agricultural sustainability and viability, particularly in LMICs where the informal sector plays a significant role.
Originality/value
To the best of the authors’ knowledge, this study is one of the first to explore the role of GI within AIS and opens up research avenues for further inquiry in both LMICs and HICs.
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Yujia Liu, Changyong Liang, Jian Wu, Hemant Jain and Dongxiao Gu
Complex cost structures and multiple conflicting objectives make selecting an appropriate cloud service difficult. The purpose of this study is to propose a novel group consensus…
Abstract
Purpose
Complex cost structures and multiple conflicting objectives make selecting an appropriate cloud service difficult. The purpose of this study is to propose a novel group consensus decision making method for cloud services selection with knowledge deficit by trust functions.
Design/methodology/approach
This article proposes a knowledge deficit-based multi-criteria group decision-making (MCGDM) method for cloud-service selection based on trust functions. Firstly, the concept of trust functions and a ranking method is developed to express the decision-making opinions. Secondly, a novel 3D normalized trust degree (NTD) is defined to measure the consensus levels. Thirdly, a knowledge deficit-based interactive consensus model is proposed for the inconsistent experts to modify their decision opinions. Finally, a real case study has been carried out to illustrate the framework and compare it with other methods.
Findings
The proposed method is practical and effective which is verified by the real case study. Knowledge deficit is an important concept in cloud service selection which is verified by the comparison of the proposed recommended mechanism based on KDD with the conventional recommended mechanism based on average value. A 3D NTD which considers three values (trust, not trust and knowledge deficit) is defined to measure the consensus levels. A knowledge deficit-based interactive consensus model is proposed to help decision-makers reach group consensus. The proposed group consensus model enables the inconsistent decision-makers to accept the revised opinions of those with less knowledge deficit, rather than accepting the recommended opinions averagely.
Originality/value
The proposed a knowledge deficit-based MCGDM cloud service selection method considers group consensus in cloud service selection. The concept of knowledge deficit is considered in modeling the group consensus measuring and reaching method.
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The importance of gender in inclusive economic growth has been a growing area of research. Finance is seen as an efficacious instrument for social inclusion, and sustainable women…
Abstract
Purpose
The importance of gender in inclusive economic growth has been a growing area of research. Finance is seen as an efficacious instrument for social inclusion, and sustainable women empowerment (SWE). The lack of credit access often constrains women to scale up. The objective of this study is to examine the attributes influencing the decision of women to access the credit at the bottom of the pyramid (BoP) and the impact of this credit access on social, psychological and economic dimensions of SWE at the BoP in rural India.
Design/methodology/approach
The threshold theory of decision-making in the form of logistic regression (LR) is applied here to analyze the influence of four determinants, namely individual household level (IHLA), social attributes (SA), economic attributes (EA) and ownership of documents (OD) on women’s credit access. Likewise, the same method is applied to study the relationship between credit access and three dimensions of SWE.
Findings
The results have revealed a statistically significant relationship between credit access and studied four attributes. Subsequently, a positive relationship has been observed between credit access and dimensions of SWE.
Originality/value
The present study broadly addresses the concern of accessing credit by women at BoP level, which helps the government and policymakers to promote enabling an environment for women entrepreneurship and comprehensive financial policies for the BoP.
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Richard Hoffman, Sharon Watson and Hemant Kher
This study aims to provide an empirical test of an existing theoretical model depicting the governance modes used by international franchisors when entering international markets.
Abstract
Purpose
This study aims to provide an empirical test of an existing theoretical model depicting the governance modes used by international franchisors when entering international markets.
Design/methodology/approach
Using a unique panel data set of 222 market expansions by US firms over a seven-year period, this paper tests hypotheses regarding the factors affecting the franchisors’ choice of governance modes when entering foreign markets.
Findings
Franchisors use governance modes with lower levels of control when faced with environmental uncertainties due to corruption, economic downturns and when the geographic distance is large. Moreover, the franchise system assets and its local market assets also affect the choice of governance modes.
Practical implications
Firms need to balance the costs of environmental uncertainty with the need to safeguard the firm’s capabilities and resources using governance modes with appropriate levels of control. This balance changes as the franchise company gains more experience in the local market and as once-emerging markets continue to develop.
Originality/value
This research identified additional governance modes used by franchisors compared to previous studies. Using multiple theoretical perspectives, the study supported significant portions of the Jell-Ojobor and Windsperger (2014) model of franchisor governance mode choice.
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Hemant Sharma, Nagendra Sohani and Ashish Yadav
In the recent scenario, there has been an increasing trend toward lean practices and implementation in production systems for the improvement of an organization’s performance as…
Abstract
Purpose
In the recent scenario, there has been an increasing trend toward lean practices and implementation in production systems for the improvement of an organization’s performance as its basic nature is to eliminate the wastes. The increasing interest of customers in customized products and the fulfillment of customers’ demand with good productivity and efficiency within time are the challenges for the manufacturing organization; that is why adopting lean manufacturing concept is very crucial in the current scenario.
Design/methodology/approach
In this paper, the authors considered three different methodologies for fulfilling the objective of our research. The analytical hierarchy process, best–worst method and fuzzy step-wise weight assessment ratio analysis are the three methods employed for weighting all the enablers and finding the priority among them and their final rankings.
Findings
Further, the best results among these methodologies could be used to analyze their interrelationships for successful lean supply chain management implementation in an organization. In this paper, 35 key enablers were identified after the rigorous analysis of literature review and the opinion of a group of experts consisting of academicians, practitioners and consultants. Thereafter, the brainstorming sessions were conducted to finalize 28 lean supply chain enablers (LSCEs).
Practical implications
For lean manufacturing practitioners, the result of this study can be beneficial where the manufacturer is required to increase efficiency and reduce cost and wastage of resources in the lean manufacturing process.
Originality/value
This paper is the first of the research papers that considered deep literature review of identified LSCEs as the initial step, followed by finding the best priority weightage and developing the ranking of various lean enablers of supply chain with the help of various methodologies.
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Matthew Gibson, Maulik Jagnani and Hemant K. Pullabhotla
Using the two waves of the India Time Use Survey, 1998–1999 and 2019, we document a 110-minute (30%) increase in average daily learning time. The largest offsetting decrease was…
Abstract
Using the two waves of the India Time Use Survey, 1998–1999 and 2019, we document a 110-minute (30%) increase in average daily learning time. The largest offsetting decrease was in work time: 61 minutes. The composition of leisure changed, with television rising by 19 minutes, while talking fell by 10 minutes and games by 17 minutes. We then implement a Gelbach decomposition, showing that 68 minutes of the unconditional learning increase are predicted by demographic covariates. Of these predictors the most important are a child's state of residence and usual principal activity, which captures extensive-margin transitions into schooling.
Karam Bharat Singh and Subhas Chandra Misra
This study identifies and ranks the barriers to manufacturing integrated circuit (IC) chips in the Indian semiconductor manufacturing industry by examining the causal…
Abstract
Purpose
This study identifies and ranks the barriers to manufacturing integrated circuit (IC) chips in the Indian semiconductor manufacturing industry by examining the causal relationships between the different barriers using an advanced causal modeling technique named the grey influence analysis (GINA). Moreover, IC plays a crucial function in reducing the size, boosting the speed and improving the dependability of electronic devices. The widespread use of these technologies has led to advancements in sectors such as communications, healthcare, transportation and entertainment.
Design/methodology/approach
This study investigates 12 factors related to the barriers to manufacturing IC chips. In addition, experts from an Indian semiconductor manufacturing organization have validated the presence of these barriers. In addition, the research employs a novel GINA to investigate and comprehend the influence relationships between these barriers.
Findings
To successfully manufacture IC chips in India, the “Government Policies and Regulations (B11),” “Lack of Semiconductor Fabrication Facilities (B1)” and “Dependence on Imported Raw Materials and Components (B2),” were the critical barriers that must be addressed and overcome, as per the GINA result.
Practical implications
The author highlighted that a lack of fabrication plants could lead to limited production of the semiconductor chips and that a lack of local fabs can hinder the development of advanced technologies. The complex policy can significantly affect the set-up of new semiconductor fabs, hamper the overall growth of the semiconductor market and divert away foreign investors. This further creates restrictions on employment creation and undermines the economy.
Originality/value
Although semiconductor applications have several benefits, more research is needed to identify the barriers to manufacturing IC chips in India, making this study unique. In addition, the advanced GINA method is also used to examine the critical barriers and their interconnection based on an expert response-based study from an Indian semiconductor organization.
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The case, “Shivani Carriers Pvt. Ltd.: Managing Employee Motivation at the Bottom of the Pyramid”, has been designed to teach students about the basic principles of employee…
Abstract
The case, “Shivani Carriers Pvt. Ltd.: Managing Employee Motivation at the Bottom of the Pyramid”, has been designed to teach students about the basic principles of employee motivation. The case is also a representative example of the problems faced by small and medium-sized businesses in employee acquisition, motivation, and retention, especially at junior levels i.e. entry-level operational and front-line roles. The case documents the history and evolution of the driver management system (DMS) instituted by Vandana and Hemant Laddha at Shivani Carriers Pvt. Ltd. (SCPL). It looks at the constraints faced by the company and the challenges that emerged during the implementation of the new system. After initial success, Vandana Laddha faced a dilemma around the future direction of the DMS. The original incentive scheme had been a success: driver productivity and motivation had improved significantly. Given that the scheme had achieved its desired objectives, the firm had decided to modify it to further improve efficiency. However, employee discontent was brewing since the scheme had been modified. Vandana Laddha had to decide if she should she bring back the original incentive management scheme to quell employee discontent or should she introduce alternate initiatives to manage driver motivation? If she chose to introduce new initiatives, what could these be? What mechanisms would she need to put in place to support the new initiatives? What about the complaints of the drivers? What should she do to address the complaints of the drivers? The case provides students with an opportunity to understand the principles of employee motivation with the help of extant and contemporary research on motivation. It also sheds light on the link between initiatives aimed at increasing motivation and other managerial activities and mechanisms. Importantly, it helps students arrive at an integrated framework that links various aspects of employee motivation such as needs, cognitions, work design factors, organizational support and actions, organizational culture and industry context.
Details
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