Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Department of Technology Management

The aim of this study is to examine the supply chain performance of small medium enterprises (SMEs) in Vellore district. This research also determines the connection between market orientation and supply chain performance and the mediating effect of supply chain management strategy on the impact of market orientation on supply chain performance. The survey was administered and collected from employees and sales managers from three small medium enterprises (SMEs) in Vellore district. Correlation, regression, mediation effect using SPSS is performed to test the hypothesis. The findings of the study reveal that there exists a positive relationship between marketing orientation and supply chain performance and the manufacturing organization's supply chain management strategy mediates the connection between marketing orientation and supply chain performance.

School of Mechanical Engineering

Vellore Campus

VIT Unitversity

Emerging Applications in Supply Chains for Sustainable Business Development Advances in Logistics, Operations, and Management Science

Market Orientation and Supply Chain Performance, Mediating Role of Supply Chain Management Strategy

The main purpose of this study is to determine the impact of supply chain management practices (i.e., strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, postponement, and risk and reward sharing on organizational performance, that is, marketing performance and financial performance). The instrument is adopted, and it is administered to 115 target respondents from 6 organizations in Chennai. A valid of 100 samples is taken for further analysis, and multiple regression analysis is employed to determine the purpose of the study. The findings indicated that supply chain management practices (i.e., strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, postponement, and risk and reward sharing) have significant and positive impact on organizational performance (i.e., marketing and financial performance). The limitations, discussions, implications, and further research will be outlined and delineated.

VIT Business School

Chennai Campus

Department of Commerce

School of Social Sciences & Languages

Effect of Supply Chain Management Practices on Organizational Performance

Technological innovation is one of the key factors in improving healthcare services. It is necessary to examine the perceptions of hospital employees of the adoption of electronic health records and telemedicine in hospitals. Because of the fact that the perception of the usage of technology differs from one employee to another, this study determines the perceptual differences of hospital employees on the usage of electronic health records and telemedicine in hospitals of Vellore district. By employing the unified theory of acceptance and use of technology model, the study determines the purpose. A total of 770 doctors, 770 nurses, and 770 clinical staff were contacted and asked to elucidate their responses; of those contacted, 537 doctors, 580 nurses, and 568 clinical staff willingly filled up the questionnaire after filling the missing values. The mean series of all the respondents have been chosen for the final study. The findings, implications, limitations, and future research are suggested and delineated. Copyright © 2019 by ASTM International,

World University root node

Journal of Testing and Evaluation

The perceptual differences of hospital employees on the use and adoption of electronic health records and telemedicine

Online social shopping serves consumers to stay connected with their friends, gains opinions about the product, helps to find the right choice of products and enables them to share their shopping experiences with others. This enriches the e-retailing to better reach out and connects with the consumers. Applying Engel-Kollat and Blackwell model of consumer behaviour, this research examined whether tie-strength altered the link between information seeking in SNSs and purchase intention. The Indian social networking sites users (n=180) were attained from panel of consumers. Consumers who seek information in SNS were intent to purchase through SNSs. Also when the level of tie-strength is high, consumers incline to purchase in SNSs by seeking information. © 2019, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved.

International Journal of Engineering and Advanced Technology

Students perception on purchase intention by information seeking in SNSs: Moderating effect of tie-strength

The purpose of the paper is to study the relationship among the glass ceiling beliefs (denial, resilience, resignation and acceptance) with performance and turnover intention through work engagement. The authors conducted a cross-sectional survey among 420 women employees from banking sector in India and structural equation modelling (SEM) has been performed for the analysis. The findings of the study support the mediating role of work engagement between glass ceiling beliefs with performance and turnover intention. Denial and resilience related positively to work engagement and performance, and negatively to turnover intention. Resignation and acceptance related negatively to work engagement and performance, and positively to turnover intention. The study recommends further longitudinal studies in this area and exploration of more career aspects and industrial sectors for future studies. This study is the first to explain the relationship of glass ceiling beliefs with performance and turnover intention, and mediating role of work engagement. Copyright © 2019 Inderscience Enterprises Ltd.

International Journal of Environment, Workplace and Employment

Glass ceiling beliefs, performance, and turnover intention through work engagement

The impact of news on individual investor decision is explicit as investors need to update, adapt and forecast returns with constraints of time, uncertainty and resources to be successful. The aim is to understand and review the influence of news on individual investor's decision making in stock markets and identify the impact of different type of news on individual investor's decision making in stock markets, assess the behavioral reaction and investment decisions made by investors before and after there is news item, identify the linking effect on behavioral theories and biases, develop a generalized decision making conceptual model to understand the impact of news on investor's reaction, decision and its linkages along with the behavioral bias. Theoretical basis/methodology for processing of news by investors is assumed to be based on Broadbent's filter theory (1958) and due to cognitive informational inefficiency of investors it assesses the attention and the investor's reaction of overreaction and underreaction, which do not comply with efficient market hypothesis theory. The reasons for its noncompliance are found by relating it with behavioral theories. The results explain how investor screens with filters and give attention to news only when it affects their portfolio or investment objective and strategies. It is concluded that investor's decision making depends on degree of information penetration, information content, information influence, specific internal factors and generic external and on investors prevailing at that given circumstances. This gives us the solution to comprehend the investor's reaction, decision and unresolved reversals, short- and long-term overreaction.

Fulltext

Investment Management and Financial Innovations

Influence of news on rational decision making by financial market investors

Despite the increasing popularity and growth of online second-hand peer to peer/customer to customer (P2P/C2C) e-commerce, research on online second-hand shopping remains limited. To fill the research gap, this study conceptualizes, develops, and validates a scale to measure online second-hand shopping motivation (OSSM). The findings show that OSSM, as a formative higher-order construct, consists of three second-order factors and nine first-order dimensions: economic motivation (including price orientation, bargaining power, and critical orientation), convenience motivation (usefulness and ease of use), and ideological motivation (need to be unique, nostalgia, trust, and assurances). Further, the study results reveal that OSSM positively predicts attitude and repurchase intention. This study has important implications to the online P2P second-hand firms and the new goods e-retailers. © 2019 Elsevier Ltd

Journal of Retailing and Consumer Services

Online second-hand shopping motivation – Conceptualization, scale development, and validation

The Baltic Dry Index is a leading indicator that generates a vibrant panorama on the global demand for commodities and raw materials as it provides a glimpse into the future. This study uses the analytical content of the Baltic Dry Index (BDI) to explore the relationship between maritime markets and stock markets with respect to emerging markets and the Stock Indices of India and China (i.e., NIFTY and Shanghai Composite Index) using VAR SURE modelling, impulse response and VAR Granger causality test for the period 1st January 2011 to 31st December 2015. The overall results exhibit that BDI influences NIFTY marginally and also produces a slight impact on SSE composite index due to the influence of international economic environment, particularly by international traders. The resulting model will aid investors and decision makers to make their financial conclusions more precisely. © 2019 Inderscience Enterprises Ltd.

Afro-Asian J. of Finance and Accounting

The interrelation between Baltic Dry Index a practical economic indicator and emerging stock market indices

The technological innovation is driving consumers to an online world and it is fetching value to the retailers. E-commerce market in India is growing drastically in the past recent by upgrading it to social commerce and Facebook commerce. Consumers’ shopping through online mode is growing and the revenue is increased year by year. According to Forbes 2018, E-commerce sector was enlarged to 11.4% which is high when compared with the previous year. One of the latest trend in online shopping is multi-channel retailing where it creates a positive impression in the minds of the consumer and drags them to sale point. Shopping behavior of consumers is different when they do purchase in online mode rather than in offline mode. Hence this study aims to examine the impact of decision making styles of consumers on online purchase intention among online shoppers in Vellore district. Data is collected from 240 online shoppers in Vellore district. Regression analysis using SPSS is carried out to determine the purpose. The outcome of the study revealed that shopping styles such as quality, fashion, impulsiveness, brand-loyal, hedonistic, confused with over choice, brand, and price consciousness positively influences online purchase intention of consumers. Limitations and future research is delineated and suggested. © BEIESP.

International Journal of Innovative Technology and Exploring Engineering

Determination of purchase intention in online shopping through consumer decision making styles: An empirical approach

It is really tough to manually examine the raw data. The Datamining strategies are used to detect the applicable information from uncooked data. The data mining algorithms are efficient for retrieving a specific pattern. In Datamining techniques decision trees are the most commonly used methods for predicting the outcome or behavior of a pattern because they can successfully and efficiently visualize the facts. Presently several decision tree algorithms are advanced for predictive analysis. Right here we gathered a dataset for rubberized mattress, from coir board CCRI, and applied the several decision tree algorithms on the data set and as compared every one. Every set of rules gives a completely unique choice tree from the input statistics. This paper focuses in particular on the Fuzzy c4.5 set of rules and compares one-of-a-kind choice tree algorithms for predictive analysis. Here by using predictive analytics, a decision can be made for each rubberized firms. © 2018 IEEE.