The purpose of this study is to explore the role of implementing e-supply chain management (E-SCM) on the competitive position of companies and whether implementing customer relationship management (CRM) can affect the relationship between E-SCM and competitive advantage. To achieve this objective, a quantitative approach was utilized. A total of 300 questionnaires were distributed where 243 questionnaires were returned, with 17 incomplete questionnaires being excluded, leaving 226 usable questionnaires. PLS-SEM software was used to analyze the data. The results of this study demonstrate the imperative role of implementing E-SCM and CRM on creating a competitive advantage for firms. It also shows that CRM mediates the relationship between E-SCM and competitive advantage, suggesting that utilizing different technologies can help firms better communicate with their customers and thus better serve them which in turn will enhance customers’ satisfaction and thus boost the competitive position of the firm.

The purpose of the article is to determine the factors affecting the satisfaction of Duy Tan University students for online learning during the acute respiratory infection caused by the new strain of Coronavirus (Covid-19). Based on survey, analysis, processing and evaluation of the obtained results, the article aims to focus the analysis within specific limits with the goal of honestly reflecting and thereby offering solutions for the effective use of online learning in the learning process of students. The results show that there are five factors affecting student satisfaction, in order of influence, as follows: (1) Tuition fees; (2) Teaching staff; (3) Interoperability; (4) Facilities and (5) Training programs. Based on these results, the Board of Directors of Duy Tan University will change several factors in order to improve student satisfaction in online learning in the near future.

Commuterline plays an important role for transportation planning in Indonesia, and it is essential to learn more on how to motivate people to actively use this public transportation facility. This paper presents an empirical investigation to explore different factors influencing the use of this publica transportation facility. The proposed study develops a questionnaire in Likert scale and distributes it among 374 people who had good experience of using commuterline in their daily lives. The questionnaire is designed to learn the effects of environmental, individual, consumer resources and psychological factors. Using some statistical techniques, the study has determined that psychological factors are the most important elements influencing consumer behavior to use this public transportation followed by consumer resources, product knowledge and individual characteristics.

This paper presents a study to measure the effects of return on investment, sales growth rate, volatility investment, cash flow and structure of institutional shareholders on the ratio of debt to equities. The study selects 102 firms listed on Tehran Stock Exchange and, using regression technique with Panel data, examines five different hypotheses over the period 2008-2012. The results indicate that there was a negative and meaningful relationship between return of investment and the ratio of debt to equities and a positive and meaningful relationship between sales growth and the ratio of debt to equities. Moreover, there were positive and meaningful relationships between volatility of investment as well as cash flow and the ratio of debt to equities. Finally, the survey has indicated that there was a negative and meaningful relationship between the structure of institutional shareholders and the ratio of debt to equities.

This paper presents a study to measure the effects of culture and strategic orientation on service innovation capabilities on selected banks in province of Alborz, Iran. The survey uses a questionnaire consists of 40 questions where 5 questions are associated with service innovation, 11 questions are related to strategic orientation and 24 questions measures organizational culture. Cronbach alpha for service innovation capabilities, strategic orientation and organizational culture were 0.73, 0.84 and 0.91, respectively. Using structural equation modeling as well as regression technique, the study has determined that organizational culture influences positively on structural orientation (B = 0.6, t-value = 13.56), organizational culture influences positively on service innovation capability (B = 0.43, t-value = 8.73) and finally structural orientation influences positively on service innovation capability (B = 0.35, t-value = 7.22).

The psychometric properties of the Absorptive capacity construct have been assessed in this study in the context of Pakistan. A total of 201 bank managers were included in the survey. Data analysis using the Smart PLC 3.0 revealed that the scale has satisfactory level of internal consistency reliability, conversion validity and discriminant validity. The findings refer to the fact that the ACAP construct could be responsively used in measuring the absorptive capacity in the banking sector of Pakistan.

Liquidity of the stock exchanges plays essential role on investment decisions and it is one of the factors that may influence on stock price. The easier one can buy/sell shares of a firm, the higher liquidity the firm has. In fact, lack of liquidity may lead investors to sell their assets at cheaper prices and it could influence negatively on overall market. The primary objective of this paper is to study the effect of stock liquidity on the risk of falling stock prices. The study chooses historical information of 70 selected firms listed on Tehran Stock Exchange over the period 2006-2012. The results of this survey have indicated that there was a negative and meaningful relationship between stock liquidity and stock price decline.

The aim of this study is to learn the effects of the value at risk (VaR) and the index of 30 largest companies (TEFIX 30) on the index of 30 large firms’ prices listed on Tehran Stock Exchange (TSE). This research study is based on analysis of libraries and analytical panel data and proposes a regression function where the index of 30 large companies’ prices is a linear function of VaR and TEFIX 30. The study collects the information of 90 publicly traded TSE firms over the period 2011-2013. The results have indicated that while the index of 30 large companies’ prices had a meaningful relationship with VaR but it had no meaningful relationship with TEFIX 30.

It is well-known that subjects can exhibit a preference for increasing payments. Smith (2009a) [Smith, J. (2009a). Imperfect Memory and the Preference for Increasing Payments. Journal of Institutional and Theoretical Economics, 165(4), 684-700.] makes a related prediction that the difference between the preference for increasing wage payments and the preference for increasing non-wage payments will be largest for intermediate payments. We find evidence consistent with this prediction. Consistent with previous experiments, we find that the preference for increasing payments is increasing in the size of the payments. Also consistent with the literature, we find that the preference for increasing wage payments is stronger than the preference for non-wage payments. Our results contribute to the understanding of the optimal sequencing of wage payments over time.

The controlling of bug fixing process during the system testing phase of software development life cycle is very important for fixing all the detected bugs within the scheduled time. The presence of open bugs often delays the release of the software or result in releasing the software with compromised functionalities. These can lead to customer dissatisfaction, cost overrun and eventually the loss of market share. In this paper, the authors propose a methodology to quantitatively manage the bug fixing process during system testing. The proposed methodology identifies the critical milestones in the system testing phase which differentiates the successful projects from the unsuccessful ones using Mahalanobis Taguchi system. Then a model is developed to predict whether a project is successful or not with the bug fix progress at critical milestones as control factors. Finally the model is used to control the bug fixing process. It is found that the performance of the proposed methodology using Mahalanobis Taguchi system is superior to the models developed using other multi-dimensional pattern recognition techniques. The proposed methodology also reduces the number of control points providing the managers with more options and flexibility to utilize the bug fixing resources across system testing phase. Moreover the methodology allows the mangers to carry out mid- course corrections to bring the bug fixing process back on track so that all the detected bugs can be fixed on time. The methodology is validated with eight new projects and the results are very encouraging.