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Mental health providers will be increasingly called on to lead psychiatric efforts to improve care and care redesign. The Accreditation Council for Graduate Medical Education (ACGME) in the USA requires residency programs to teach quality improvement (QI) and systems-based practice (SBP) to all trainees as part of training requirements. However, teaching QI and SBP concepts without a clinical context can be challenging with low trainee engagement. The paper aims to discuss these issues.

The authors describe curricular redesign with a specialized educator faculty task force that aimed to create a longitudinal curriculum that integrated abstract QI concepts into clinical practice settings, and helped trainees apply SBP concepts throughout residency. In addition, the authors describe the utilization of resident prescriber profiles to contextualize clinical practice habits, and the implementation of an educational case conference series with emphasis on QI-specific educational tools such as root cause analysis (RCA).

Formal resident feedback from 2016 to 2018 has demonstrated improved trainee satisfaction. The resulting curricular change has also led to a new chief resident role and sustained engagement in QI and SBP education by trainees.

The faculty task force and curricular design changes described in this paper were implemented at one large academic institution. Thus, additional assessment and research is necessary to address the generalizability of the interventions described.

Since QI and SBP are becoming more prominent requirements for medical education accrediting bodies such as the ACGME, the innovative curricular design can benefit other residency and medical student education programs that attempt to integrate clinical practice with education incorporating QI and SBP concepts.

The main purpose of this work is to explore the erosion wear characteristics of additively manufactured aluminium alloy. Additive manufacturing (AM), also known as three-dimensional (3D) manufacturing, is the process of manufacturing a part designed in a computer environment using different types of materials such as plastic, ceramic, metal or composite. Similar to other materials, aluminum alloys are also exposed to various wear types during operation. Production efficiency needs to be aware of its reactions to wearing mechanisms.

In this study, quartz sands (SiO₂) assisted with oxide ceramics were used in the slurry erosion test setup and its abrasiveness on the AlSi10Mg aluminum alloy material produced by the 3D printer as selective laser melting (SLM) technology was investigated. Quartz was sieved with an average particle size of 302.5 µm, and a slurry environment containing 5, 10 and 15% quartz by weight was prepared. The experiments were carried out at the velocity of 1.88 (250 rpm), 3.76 (500 rpm) and 5.64 m/s (750 rpm) and the impact angles 15, 45 and 75°.

With these experimental studies, it has been determined that the abrasiveness of quartz sand prepared in certain particle sizes is directly related to the particle concentration and particle speed, and that the wear increases with the increase of the concentration and rotational speed. Also, the variation of weight loss and surface roughness of the alloy was investigated after different wear conditions. Surface roughness values at 750 rpm speed, 10% concentration and 75° impingement angle are 0.32 and 0.38 µm for 0 and 90° samples, respectively, with a difference of approximately 18%. Moreover, concerning a sample produced at 0°, the weight loss at 250 rpm at 10% concentration and 45° particle impact angle is 32.8 mg, while the weight loss at 500 rpm 44.4 mg, and weight loss at 750 rpm is 104 mg. Besides, the morphological structures of eroded surfaces were examined using the scanning electron microscope to understand the wear mechanisms.

The researchers verified that this specific coating condition increases the slurry wear resistance of the mentioned steel. There are many studies about slurry wear tests; however, there is no study in the literature about the quartz sand (SiO₂) assisted slurry-erosive wear of AlSi10Mg alloy produced with AM by using SLM technology. This study is needed to fill this gap in the literature and to examine the erosive wear capability of this current material in different environments. The novelty of the study is the use of SiO₂ quartz sands assisted by oxide ceramics in different concentrations for the slurry erosion test setup and the investigations on erosive wear resistance of AlSi10Mg alloy manufactured by AM.

The key learning objectives are mentioned as follows: to understand the attractiveness of the co-living sector using Michael Porter’s five forces model; to do competitive analysis of ZOLO by understanding its objectives, strengths and weaknesses; to understand various competitive strategies which ZOLO’s competitors could apply against it; and to understand application of various defense strategies, which ZOLO would follow to retain its market leader position.

ZoloStays (ZOLO) was an Indian real-tech start-up based in Bengaluru. It was in the business of co-living, i.e. providing affordable accommodation for students and young professionals who had to leave their home and temporarily settle in other cities in search for jobs or education. ZOLO had grown 300% and had served over 50,000 customers across 10 Indian cities, since its inception in 2015. It had claimed to be the largest co-living brand in India in FY 2019. Nikhil Sikri (Sikri), who was a Co-founder of ZOLO, had big plans of expanding the firm to a million beds in 5 years. However, increasing awareness of a huge untapped market in the co-living sector had led to entry of a flurry of competitors. Notable among them were Nestaway, Colive, StayAbode, CoHo and OYO Life. Facing such intense competition Sikri had the challenge to be able to sustain his company’s early momentum. How would he retain ZOLO’s market leadership position? What would be the best strategy to achieve further growth? Should ZOLO diversify into allied services or apply a more focused strategy? Sikri was facing all these challenging questions and had to quickly address them to continue to lead in this competitive race.

The case can be taught in advanced undergraduate, MBA or executive-level programs dealing with marketing. This case study helps students in dealing with issues pertaining to a given market sector where a firm is operating, the strategies that could be used by the competitors and application of competitive strategies which the firm can apply.

Teaching Notes are available for educators only.

CSS 8: Marketing

This paper aims to investigate the influence of “BroncoCut-X” (copper core-ZnCu50 coating) electrode on the machining of Ti-3Al-2.5V in view of its extensive use in aerospace and medical applications. The machining parameters are selected as Spark-off Time (ST_off), Spark-on Time (ST_on), Wire-speed (S_w), Wire-Tension (WT) and Servo-Voltage (S_v) to explore the machining outcomes. The response characteristics are measured in terms of material removal rate (MRR), average kerf width (KW) and average-surface roughness (SA).

Taguchi’s approach is used to design the experiment. The “AC Progress V2 high precision CNC-WEDM” is used to conduct the experiments with ϕ 0.25 mm diameter wire electrode. The machining performance characteristics are examined using main effect plots and analysis of variance. The grey-relation analysis and fuzzy interference system techniques have been developed to combine (called grey-fuzzy reasoning grade) the experimental response while Rao-Algorithm is used to calculate the optimal performance.

The hybrid optimization result is obtained as ST_off = 50µs, ST_on = 105µs, S_w = 7 m/min, WT = 12N and S_v=20V. Additionally, the result is compared with the firefly algorithm and improved gray-wolf optimizer to check the efficacy of the intended approach. The confirmatory test has been further conducted to verify optimization results and recorded 8.14% overall machinability enhancement. Moreover, the scanning electron microscopy analysis further demonstrated effectiveness in the WEDMed surface with a maximum 4.32 µm recast layer.

The adopted methodology helped to attain the highest machinability level. To the best of the authors’ knowledge, this work is the first investigation within the considered parametric range and adopted optimization technique for Ti-3Al-2.5V using the wire-electro discharge machining.

The purpose of this paper is to examine the impact of bankruptcy reform in the year 2016 on the relation between leverage and firm performance for Indian firms, separately for business group and standalone firms.

Fixed effects panel regression is used to understand the role of bankruptcy reform on firm-level data to examine the relationship between leverage and firm performance after controlling for size, growth, age, liquidity and promoter shareholding. The authors also apply the generalized method of moments (GMM) to control for the endogeneity concerns.

The authors show that the introduction of the insolvency and bankruptcy code (IBC) positively moderates the relation between leverage and firm performance such that the extent of negative relation between leverage and firm performance is less in the post-IBC period. The positive impact of IBC on the relation between leverage and firm performance holds only for firms not affiliated to business groups and for firms with higher debt in their capital structure.

The study’s findings will help the regulators appreciate the effectiveness of bankruptcy reforms resulting from IBC implementation in terms of sound bankruptcy process and leading to safeguard the interests of minority shareholders.

The authors provide the only study to examine the role of bankruptcy law in moderating the relation between leverage and firm performance across a sample of business group and standalone firms.

Accurate prediction of temperature and heat is crucial for the design of various nano/micro devices in engineering. Recently, investigation has been carried out for calculating the heat flux of gas flow using the concept of sliding friction because of the slip velocity at the surface. The purpose of this study is to exetend the concept of sliding friction for various types of nano/micro flows.

A new type of Smoluchowski temperature jump considering the viscous heat generation (sliding friction) has recently been proposed (Le and Vu, 2016b) as an alternative jump condition for the prediction of the surface gas temperature at solid interfaces for high-speed non-equilibrium gas flows. This paper investigated the proposed jump condition for the nano/microflows which has not been done earlier using four cases: 90° bend microchannel pressure-driven flow, nanochannel backward facing step with a pressure-driven flow, nanoscale flat plate and NACA 0012 micro-airfoil. The results are compared with the available direct simulation Monte Carlo results. Also, this paper has demonstrated low-speed preconditioned density-based algorithm for the rarefied gas flows. The algorithm captured even very low Mach numbers of 2.12 × 10⁻⁵.

Based on this study, this paper concludes that the effect of inclusion of sliding friction in improving the thermodynamic prediction is case-dependent. It is shown that its performance depends not only on the slip velocity at the surface but also on the mean free path of the gas molecule and the shear stress at the surface. A pressure jump condition was used along with the new temperature jump condition and it has been found to often improve the prediction of surface flow properties significantly.

This paper extends the concept of using sliding friction at the wall for micro/nano flows. The pressure jump condition was used which has been generally ignored by researchers and has been found to often improve the prediction of surface flow properties. Different flow properties have been studied at the wall apart from only temperature and heat flux, which was not done earlier.

The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.

The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.

The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.

The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.

The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.

This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.