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2021 ◽  
Vol 11 (4) ◽  
pp. 1-26
Author(s):  
Komal Nagar

Case overview Maruti Suzuki India Limited (MSIL), a joint venture between Maruti Udyog Limited, India and Suzuki Motors, Japan, is considering repositioning its WagonR brand amidst issues of overall decline in sales in the automobile industry. With a market share of more than 53%, MSIL is the market leader in passenger vehicle segment in India, yet it is facing difficulties in driving up sales. The company’s portfolio comprises entry-hatch, mid-hatch, premium-hatch, sedan, SUV/MUV, crossover and van. The case dilemma involves the decision that MSIL’s management should take for the repositioning of WagonR, a compact hatchback, at a time when the automobile industry is showing no signs of recovery. Is it opportune to reposition WagonR, given the current situation of the passenger car market in India? If yes, what can MSIL learn from its past positioning efforts and how can it use insights about consumers’ current perceptions of WagonR’s brand image to arrive at a repositioning decision? Leaning objectives Using the case will help address the following objectives: to expose students to the challenges of repositioning an established brand; appreciate the need for and importance of repositioning established brands; evaluate existing positioning and market conditions for making a sound decision; and develop analytical skills that will prepare them to make decisions in real business scenarios. Complexity academic level The study is suitable for Masters level students in courses on Marketing Management, but it can also work well in elective courses such as brand management. Supplementary materials Teaching notes are available for educators only. Subject code CSS 8: Marketing.


Author(s):  
Wenzheng Mao ◽  
Zhanyu Dong ◽  
Hsiao-Hui Lee

Problem definition: We examine a firm’s investigation and recall decisions when a defect occurs and provide policy implications on how to deter long delayed recalls. Practical relevance: When a safety defect occurs, manufacturers often use product recalls to mitigate potential consequences. Although consumers expect on-time recalls for product defects, anecdotal examples suggest that firms may be passive in investigating potential defects and/or severely delay their recall decisions. Understanding how firms make their recall timing decisions has important business and social implications. Methodology: We study decisions on investigation efforts and recall timings for a profit-maximizing manufacturer by incorporating a Bass diffusion model to capture sales patterns for products with long life cycles. We then test our implications using data from the automobile industry and find supporting evidence. Results: We first find that a firm will consider a delayed recall when the defect is noticed early, when sales suffer more negative impacts from (external) media exposure on a recall, and when the product has a relatively high margin-to-recall-cost ratio. Second, a firm that will consider a delayed recall exerts a smaller investigation effort, and it will further reduce the effort when the defect is more likely to lead to a recall. When we consider the case in which a firm’s learning effect and information updating occur in an investigation and recall process, our results remain consistent. Managerial implications: Our model not only helps us understand how firms make their decisions when defects occur but also offers governments and regulatory bodies new instruments (e.g., investigation efforts, penalty design, information disclosure, firm supervision) to help firms be proactive should a defect occur, thereby reducing potential casualties associated with delays in a recall progress.


Author(s):  
Behzad Saberi ◽  
Morteza Heydari

The article analyzes the problems of introducing electric vehicles, as wellas their difference from cars with internal combustion engines. This type oftransport has long been included in our everyday life. Today, in the era ofthe heyday of technology, a person understands that cars with an internalcombustion engine (ICE) are almost on the edge of their existence. Atpresent, the development of the production of electric vehicles should beconsidered as a promising direction of the Iranian automobile industry. Atthe moment, this market in Iran is not yet occupied by foreign companies,and therefore national companies have a chance to use the strategy of“growth together with the market”.


2021 ◽  
Vol 163 (A3) ◽  
Author(s):  
MP Mathew ◽  
SN Singh ◽  
SS Sinha ◽  
R Vijayakumar

The study of external aerodynamics of an aircraft carrier is of utmost importance in ensuring the safety of aircraft and pilots during take-off and recovery. The velocity deficit in the forward direction and the downwash together combine to give a sinking effect to the aircraft, along its glideslope path and is known as the ‘burble’ in naval aviation parlance. This phenomenon is primarily responsible for the potential increase in pilot workload on approach to the aircraft carrier. There is little literature in the open domain regarding ways and means to alleviate the burble effect. Unlike in the case of the automobile industry, which has the generic ‘Ahmed body’ and for the frigates/destroyers, for which there is the Simplified Frigate Ship (SFS), on which experiments and validation through CFD could be carried out, by researchers from all over the world, there is no generic Aircraft Carrier model for carrying out experiments and validation of CFD codes. The aim of this study is to define the Generic Aircraft Carrier Model (GAC), as developed at IIT Delhi, and to carry out numerical studies on the GAC and a variant of GAC without the island, BGAC (Baseline GAC), to assess the contribution of the island to the burble behind an Aircraft Carrier. This study gives a quantitative estimation of the effect and contribution of individual components of an Aircraft Carrier (like flight deck, island, etc.) to the burble behind the carrier, and would give a Naval Ship Designer an understanding of the effect of the geometrical configuration of the flight deck and the island on generation of the burble behind the carrier, which could aid the designer in potentially reducing the pilot workload.


2021 ◽  
pp. 1-32
Author(s):  
Kylie Conrad ◽  
John D. Graham

Abstract Benefit-cost analyses of regulations address Kaldor-Hicks efficiency but rarely investigate the distribution of benefits and costs as experienced by low-income households. In order to fill this gap, this article assembles the available evidence to determine how regulations of the automobile industry may impact the well-being of low-income Americans. The scope of the investigation includes air pollution, safety and fuel-economy regulations. We find that performing benefit-cost analyses for low-income households is more challenging than commonly understood. Given the difficulties in completing distributional analysis with available information, the authors offer practical suggestions on how to change the federal data systems and the rulemaking process to ensure that information is collected about how future automobile regulations impact the well-being of the poor.


Author(s):  
T. Narendiranath Babu ◽  
Suraj Shyam ◽  
Shivam Kaul ◽  
D. Rama Prabha

Natural fibre composites are ideal material substitutes for combating the issues of pollution and non-biodegradability. Several industries, the automobile industry, in particular, have shown tremendous inclination towards the usage of natural fibre composites in their deliverables. Besides providing a wide array of useful properties, natural fibre composites have offered flexibility in terms of choosing various combinations of fibres and resins. Owing to this, this paper aims to collect data and categorize the natural fibre composites based on the types of treatments and properties they exhibit. Characterization was done by taking into consideration chemical and enzymatic treatments as well as tests such as the tensile, flexural, compressive, impact, shear and hardness. Based on the values obtained from the characterization, the paper suggests suitable and feasible natural fibre composites as biocompatible replacements to conventionally used materials in the automotive industry.


Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7363
Author(s):  
Kamran Ahmad Awan ◽  
Ikram Ud Din ◽  
Ahmad Almogren ◽  
Byung-Seo Kim ◽  
Ayman Altameem

Vehicular Ad hoc Network (VANET) is a modern concept that enables network nodes to communicate and disseminate information. VANET is a heterogeneous network, due to which the VANET environment exposes to have various security and privacy challenges. In the future, the automobile industry will progress towards assembling electric vehicles containing energy storage batteries employing these resources to travel as an alternative to gasoline/petroleum. These vehicles may have the capability to share their energy resources upon the request of vehicles having limited energy resources. In this article, we have proposed a trust management-based secure energy sharing mechanism, named vTrust, which computes the trust degree of nodes to authenticate nodes. The proposed mechanism is a multi-leveled centralized approach utilizing both the infrastructure and vehicles to sustain a secure environment. The proposed vTrust can aggregate and propagate the degree of trust to enhance scalability. The node that requests to obtain the energy resources may have to maintain a specified level of trust threshold for earning resources. We have also evaluated the performance of the proposed mechanism against several existing approaches and determine that the proposed mechanism can efficiently manage a secure environment during resource sharing by maintaining average malicious nodes detection of 91.3% and average successful energy sharing rate of 89.5%, which is significantly higher in comparison to the existing approaches.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akriti Chaubey ◽  
Chandan Kumar Sahoo

PurposeThis paper aims to examine the drivers of employee creativity and organizational innovation empirically. And to study how employee creativity significantly impacts organizational innovation in a highly competitive market.Design/methodology/approachThis study is grounded in positivism philosophy. The theoretical model is grounded in the dynamic capability view (DCV) and further developed ten hypotheses and sub-hypotheses. To test our research hypotheses the authors utilized psychometric-based instruments. The authors obtained 575 responses from the automobile industry in India after multiple follow-ups. The data were utilized to check the construct validity and tested the authors’ research hypotheses using the co-variance-based structural equation modeling (SEM) tool (IBM SPSS AMOS 20.0).FindingsThe results support the authors’ research hypotheses. The findings of this study conform to the previous findings of the scholars which is an important aspect of the study. In the past various scholars have made an attempt to reproduce the results in different contexts. In a way, it helps to build confidence in the scientific merit of the results. It may be considered as an incremental contribution to the literature but it helps establish confidence in the theory of creativity and innovation.Practical implicationsThe results offer a nuanced understanding to the practitioners and policy makers to understand “what” and “how” to improve employee creativity that plays a significant role in organizational innovation.Originality/valueThis study is an attempt to examine how the theory of creativity and innovation can be embraced by the Indian automobile industry.


2021 ◽  
Vol 2108 (1) ◽  
pp. 012072
Author(s):  
Hongqi Wang ◽  
Shouman Chen ◽  
Yahong Wen ◽  
Chaofan Zhou

Abstract Unmanned driving is the future development direction of the automobile industry, and intelligent driving detection is one of the important research topics. In order to improve driverless technology and traffic safety, this design is based on FPGA technology to design a driving detection system, combined with off-chip SDRAM’s high-speed, large-capacity cache and image processing related algorithms, and it will achieve the function of acquiring target image, cache, detection and display. Finally, the FPGA development board is used to test the driving detection system, which demonstrates that this driving detection system can better improve the safety monitoring problems in unmanned driving. At the same time, the system’s frame rate is close to 55pfs, which has practical significance and application value.


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