In today's competitive environment, the development and retention of human capital has become a serious concern for organizations. This study aims to study the antecedents of employees' turnover intentions in private educational institutions. A closed ended questionnaire was distributed among 200 employees of different educational institutions. One hundred and seventy eight of them responded with total response rate of 79%. Regression analyses were performed to test the hypotheses set forth. The findings of the study revealed that turnover intentions are influenced by job stress and work environment whereas work overload has not been found as a significant predictor of turnover intentions.

Purpose of the study: This study aims to investigate the impact of bank-specific and macro-economic factors on commercial banks profitability in Pakistan. Methodology: This study uses both internal and external factors as independent variables. Internal factors are inclusive of capital adequacy, operational efficiency, deposit ratio, liquidity, leverage, number of branches, and bank size, while external indicators are pertaining to GDP, rate of inflation, interest rate, and rate of foreign exchange. Return on assets, return on equity, and net interest margin is employed as proxies for measuring profitability. Balanced panel data of 25 commercial banks over a period ranging from 2009 to 2018 is analyzed through descriptive statistics and fixed effects regression model. Main Findings: The empirical findings revealed that among internal factors, capital adequacy ratio, deposit ratio, leverage ratio, liquidity ratio, and bank size significantly affect the return on asset, while in the case of macro-economic factors, inflation rate, exchange rate, and GDP have a significant impact on return on asset. On the other hand, return on equity is significantly affected by deposit ratio, leverage ratio, and operational efficiency, whereas among macro-economic factors, only the inflation rate had a significant effect on return on equity. Furthermore, in the case of net interest margin, among internal factors, capital adequacy ratio, deposit ratio, bank size, and the number of branches have a significant impact on net interest margin, whereas, among macro-economic factors, interest rate, inflation rate, and exchange rate significantly affected net interest margin. Applications of this study: This study has greater importance for government, bank managers, investors, academicians, and scholars. Originality/Novelty: In this study, the number of branches is taken as a novel factor in Pakistan's case and bridges the gap in the banking literature of Pakistan.

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Consumer electronic manufacturing (CEM) companies maintain a range of electronic products that are designed and tested according to the type and end-user requirements. These electronic products go through a validation and verification test for proof of design and a manufacturing test for checking reliability, quality, and manufacturing defects. Testing is carried out using test sites, designed based on the electronic product type. Currently, there is no standard approach for setting up a test site for electronic products. In this research, two processes are presented, for setting up new test sites and optimization of existing test sites for consumer and other electronic products. The proposed processes include a voice of customer (VoC) interface, that is based on a unique dataset and through machine-learning technique automatically translate customer information into customer requirements, and a figure of merit (FoM) presented as an outcome of this research using several key test-related parameters. These proposed processes are an important step towards defining a standard approach for setting test sites for consumer and other electronic products. The processes are implemented using a software application developed in LabVIEW, which is linked to a database containing test data for around 400 products collected as part of this research and form a knowledge base for the proposed processes. Finally, the processes are validated by setting up a new experimental test site for an RF receiver and optimization of an existing test site of an antenna system.INDEX TERMS Consumer electronic manufacturing (CEM), electronic product test, figure-of-merit (FoM), LabVIEW, machine-learning, voice of customer (VoC).

Consumer electronic manufacturing (CEM) companies face a constant challenge to maintain quality standards during frequent product launches. A manufacturing test verifies product functionality and identifies manufacturing defects. Failure to complete testing can even result in product recalls. In this research, a universal automated testing system has been proposed for CEM companies to streamline their test process in reduced test cost and time. A universal hardware interface is designed for connecting commercial off-the-shelf (COTS) test equipment and unit under test (UUT). A software application, based on machine learning, is developed in LabVIEW. The test site data for around 100 test sites have been collected. The application automatically selects COTS test equipment drivers and interfaces on UUT and test measurements for test sites through a universal hardware interface. Further, it collects real-time test measurement data, performs analysis, generates reports and key performance indicators (KPIs), and provides recommendations using machine learning. It also maintains a database for historical data to improve manufacturing processes. The proposed system can be deployed standalone as well as a replacement for the test department module of enterprise resource planning (ERP) systems providing direct access to test site hardware. Finally, the system is validated through an experimental setup in a CEM company.