90 research outputs found
Is Dynamic Capability View Relevant to the Higher Education Institutions for Innovation Capability?
Objective: The basic aim of the research is to identify the dynamic capability view implication in the higher education institutions for innovation capability by exploring various dynamic capabilities pertinent to the higher education institutions.Methodology: This paper is qualitative in nature and based on immense literature review and synthesize the relevant literature about dynamic capability and innovation capability in the context of higher education institutions.Findings: The current study reveals that dynamic capability view is as important and relevant for higher education as for other industries. Various dynamic capabilities are an integral part of the higher education institutions and source of congruence to the ever changing/dynamic environment. Keywords: Dynamic Capabilities View, Dynamic Capabilities, Innovation Capability, Higher Education Institutions, Dynamic Environment, Resources Jel Codes: I23, M10, D8
Impact of Participative Decision Making and Demographic Characteristics on Job Performance of University Academic Staff: Evidence from Universiti Utara Malaysia
Globalizations and rapid advancement of information and technology have created high uncertainty in educational environment. In response to these changes, higher education institutions continuously set higher goals and objectives to gain more competitive advantages. As a result, academic staffs as an important contributor in the university that is facing an increasing demand for higher job performance. Therefore, it is necessary for university management to implement a practice that can increase academic job performance and keep them motivated. Furthermore, university management should be able to recognize the diversity in their work environment. The purpose of this research is to examine the influence of participative decision making and demographic characteristics toward job performance of academic staff. In this regard, 100 academic staff members of Universiti Utara Malaysia were treated as sample of the research. Furthermore, by using Analysis of Variance (ANOVA) and regression analysis as statistical tools, the research found that participative decision making; along with teaching experience and academic rank of academic staff have significant and positive impact on job performance of academic staff of university Utara Malaysia. Keywords: Participative Decision Making, Demographic Characteristics, Job Performance, Organizational Behavior
Effect of knowledge management activities and dynamic capabilities on employee performance in the banking sector: empirical evidence from Pakistan
The banking sector is facing constant change and fierce competition. In this scenario, banks need to align themselves with the ever-changing environment by enhancing employee knowledge base to create capabilities. The basic objective of the current study is to examine the effect of knowledge management activities and dynamic capabilities on employee performance in the banking sector of Pakistan. This research employed a quantitative method to analyse the data. The sample was taken from employees who are working in public and private banks in Pakistan. A self-administered questionnaire was distributed among employees of public and private banks adopting stratified random sampling technique. Ordinary Least Square (OLS) method is used to testify the hypothesis and factor analysis to examine the validity and reduction of the items. This research finds that both knowledge management activities and dynamic capabilities have significant effect on employee performance in the banking sector of Pakistan
The Relationship between Work Values, Affective Commitment, Emotional Intelligence, and Employee Engagement: A Moderated Mediation Model
Affective commitment is considered to be the most critical element of organizational commitment because of its impact in reducing employee turnover, absenteeism and in enhancing the effectiveness of the organization. Because of the nature of the job, emotional intelligence is also a significant trait for employees working in banks. Based on a sample of 354 employees selected from the banking sector of Pakistan, this study revealed that work values had a significant impact on affective commitment. The findings of this study also confirmed the mediation of emotional intelligence and moderation of employee engagement between the relationship of work values and affective commitment among banking professionals of Pakistan. This study also provides practical foresight for the HRM professionals to enhance retention of effective manpower
The Relationship between Work Values, Affective Commitment, Emotional Intelligence, and Employee Engagement: A Moderated Mediation Model
Affective commitment is considered to be the most critical element of organizational commitment because of its impact in reducing employee turnover, absenteeism and in enhancing the effectiveness of the organization. Because of the nature of the job, emotional intelligence is also a significant trait for employees working in banks. Based on a sample of 354 employees selected from the banking sector of Pakistan, this study revealed that work values had a significant impact on affective commitment. The findings of this study also confirmed the mediation of emotional intelligence and moderation of employee engagement between the relationship of work values and affective commitment among banking professionals of Pakistan. This study also provides practical foresight for the HRM professionals to enhance retention of effective manpower
Incorporation of garlic extract as antifungal agent in psyllium based edible coating for mandarin
oai:ojs.ijfaas.com:article/2In present Research work, the mathanolic extract of garlic was incorporated in locally developed Psyllium based edible coating for its application on mandarin. Different concentrations of the extract were used in the coating and quality of the fruit was monitored during storage at room temperature. The results indicated that there was least change (increase) in brix, weight loss, brix/acid ratio, pH and acidity of the fruit during storage studies. The fungal contamination was effectively controlled due to incorporation of garlic extracts at a rate of 6-8%. On the basis of these results it was concluded that the garlic extracts can be used in psyllium based edible coating and it has antifungal significant antifungal potential but at relatively higher concentrations (>6%)
Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?
Objectives:To evaluate (1) whether or not the addition of computer-assisted diagnosis (CAD) to 64-slice multidetector computed tomography (CT) can be used as a screening tool for detection of pulmonary nodules in routine CT chest examinations and (2) whether or not to advocate the incorporation of CAD as a screening tool into our daily practice. Materials And
Methods:
A retrospective cross-sectional analysis of 109 consecutive Patients who had all undergone routine contrast-enhanced CT chest examinations for indications other than lung cancer at the Radiology Department of Aga Khan University Hospital, Karachi, between November 2010 and January 2011. All examinations were evaluated in terms of the detection of pulmonary nodules by a consultant radiologist and CAD (ImageChecker CT Algorithm R2 Technology) software. The ability of CAD software to detect pulmonary nodules was evaluated against the reference standard. In addition, a chest radiologist also calculated the number of pulmonary nodules. The sensitivity and specificity of the CAD software were calculated against the reference standard by using a 2 * 2 table. The Mann-Whitney U test was applied to compare the performances of CAD and the radiologist.
Results:
CAD detected 610 pulmonary nodules while the radiologist detected only 113. The reference standard declared 198 pulmonary nodules to be true nodules. CAD detected 95% of all true nodules (189/198), whereas the radiologist detected only 57% (113/198). In the detection of true pulmonary nodules, CAD had 98% sensitivity compared with the radiologist who had 57% sensitivity, the statistical difference between their performances had a P value Conclusion: Considering the high sensitivity of CAD to detect nearly all true pulmonary nodules, we advocate its application as a screening tool in all CT chest examinations for the early detection of pulmonary nodules and lung carcinoma
The Validity Of 75gms OGTT For Detection Of GDM Keeping 100gms OGTT As Gold Standard
Objective: To determine the validity of 75gms (Oral Glucose Tolerance Test) OGTT for the detection of GDM keeping 100gms OGTT as the gold standard.
Methodology: This was a Cross-sectional validation study done at the Mother and Child Health Centre, Pakistan Institute of Medical Sciences, Islamabad. The duration of the study was Six months from the approval of the synopsis. Data was collected from March 2019 to September 2019. Informed consent for participating in the study was taken from all 205 patients. The patients' bio data along with the hospital registration number was entered pro forma. The patients were assessed initially by History taking and examination. All pregnant women underwent a 75g oral glucose test in the 2nd trimester at 24-28 weeks of gestation. For this, the patients were sent to the MCH laboratory with overnight fasting where FBS was taken and they were given a 75 g glucose drink. Their blood sample was taken at 1-hour and 2-hour interval. Two or more elevated values out of the 3 blood samples were sufficient to diagnose GDM. Laboratory reports were reviewed and data was entered in the performa (attached) by the researcher. All the diagnosed patients were further evaluated for a 100g OGTT dose at the MCH laboratory with overnight fasting. Their FBS was studied and women were given a 100 g glucose drink and blood samples were drawn at an interval of 1, 2 and 3 hours respectively. Out of the 4 blood samples, two or more elevated values were sufficient to diagnose GDM. Lab reports were entered in the Performa.
Results: From a total of 205 patients, the sensitivity and specificity of OGTT-75 g for diagnosing GDM were 83.02% and 82.83%. However, positive predictive and negative predictive value for OGTT-75 g was 83.81% and 82% respectively. However, the overall diagnostic accuracy of OGTT-75 g was 82.93%.
Conclusion: Results of this study showed that 75 gms OGTT is highly sensitive (83.02%) and specific (82.83%) for the detection/diagnosis of gestational DM. Advanced screening and diagnosis of gestational DM, and its effective treatment not only inhibit adverse perinatal and maternal outcomes but also save the lives of both child and mother from diabetes in future
Assessment of Knowledge of Cardiopulmonary Resuscitation among Pharmacy Students of Mirpur, Azad Jammu & Kashmir
Introduction: Cardiopulmonary resuscitation (CPR) is the most important lifesaving technique in several emergency situations such as cardiac arrest. In future, being part of health care professionals, pharmacy students are deemed to possess basic skills and expertise which are required to perform CPR. Objective: To access the knowledge of cardiopulmonary among pharmacy students of Mirpur Azad Jammu & Kashmir. Methods: It was a questionnaire-based, descriptive cross-sectional study, conducted among 4th and 5th year students of two Pharmacy institutes of Mirpur AJ&K from November 2018 to January 2019. A pre-tested questionnaire from previous study was used to collect data. It comprised of 13 dichotomous questions with “Yes/No” options, regarding knowledge of CPR. Descriptive statistics was used to unfold the demographic characteristics. Inferential statistics (Kruskal Wallis and Man Whitney) tests were used for evaluating difference between dependent continuous variables and independent variables and Chi-square was applied to determine difference between grouped variables. P-value of less than 0.05 is considered significant. The data was analyzed using SPSS version 20. Result: Overall, 131 out of 150(response rate= 92%) students participated in current study. Gender distribution among the participants was almost equal with 66 males (50.4%) males and 65 (49.6%) females took part in current study. Participants of the age group 21-23 years (n=88, 67.2%) were dominant. Only few students (n=23, 17.6%) reported to have taken training in CPR previously. Eighty-eight (66.7%) had average knowledge of CPR. No significant differences among male and female, 4th and 5th year students of both the institutes were found. Conclusion: The study revealed that knowledge level of CPR is adequate in most of the students of pharmacy. However, further improvements are required to perform CPR in an efficient manner. Thus, training in CPR should be mandatory in the pharmacy curriculum
Introducing adaptive machine learning technique for solving short-term hydrothermal scheduling with prohibited discharge zones
The short-term hydrothermal scheduling (STHTS) problem has paramount importance in an interconnected power system. Owing to an operational research problem, it has been a basic concern of power companies to minimize fuel costs. To solve STHTS, a cascaded topology of four hydel generators with one equivalent thermal generator is considered. The problem is complex and non-linear and has equality and inequality constraints, including water discharge rate constraint, power generation constraint of hydel and thermal power generators, power balance constraint, reservoir storage constraint, initial and end volume constraint of water reservoirs, and hydraulic continuity constraint. The time delays in the transport of water from one reservoir to the other are also considered. A supervised machine learning (ML) model is developed that takes the solution of the STHTS problem without PDZ, by any metaheuristic technique, as input and outputs an optimized solution to STHTS with PDZ and valve point loading (VPL) effect. The results are quite promising and better compared to the literature. The versatility and effectiveness of the proposed approach are tested by applying it to the previous works and comparing the cost of power generation given by this model with those in the literature. A comparison of results and the monetary savings that could be achieved by using this approach instead of using only metaheuristic algorithms for PDZ and VPL are also given. The slipups in the VPL case in the literature are also addressed
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