Using Agency Theory in Understanding Switching Behavior in B2B Service Industries “I”

Understanding switching behavior is a cornerstone in sustaining customer led marketing efforts especially in services which depend on long-term relationships with the customers and where the switching process is compound and costly for both the customer and the service provider. The issue of understanding the motives and barriers behind agency-brand switching behavior still needs further conceptual support and empirical investigation in service industries context, where the emphasis placed on investigating the actual switching motives without trying to conceptualize the issue, which if done will result in better understanding for the whole switching process. In this paper, the authors attempt to bridge this gap in the literature by examining the criterion validity of the switching behavior model using the agency theory, as the relation between the business company (principle) and an Advertising agency (the agent) could be described as agency relationship. Furthermore, this approach helps in supporting the efforts for retaining the business-to-business customers, strengthening the relationship with them, developing and adopting globally integrated customer led strategies in different countries, a trend which is expected to dominate the marketing field in the future due to the increasing role of the agency brand selection and switching in today’s world markets.Brand switching, agency theory, business to business marketing, service marketing, international advertising research

Potential of Phosphorus Pollution in the Soil of the Northern Gaza Strip, Palestine

The damage and negative consequences of the Israeli Cast Lead on Gaza in the period between December 2008 - January 2009 is not only limited to the number of martyrs and wounded people, the destruction of houses and the infrastructure, but it also reached the environment. This paper investigates the occurrence of phosphorus (P) in the soil of the northern gover-norate of the Gaza Strip which has been shaped as a result of the heavily bombing of white phosphorus on Gaza during the war. We have measured soil Phosphorus concentrations in three different areas; agricultural, non-agricultural and urban areas. The obtained Olsen P values in most of the soil samples were ranked very high. The maximum value of phosphorous determined in agricultural areas was about 110.9 mg/ kg, in the non-agricultural areas adjacent to boarders 63.3 mg/ kg, and in urban areas 85.2 mg/ kg. The results show that the potential of phosphorus in the northern of the Gaza Strip is becoming higher than the allowed Olsen P values

The relationship between digital marketing, customer relationship management and service quality on brand equity

Building a strong brand with significant equity provides a host of benefits for business organizations. Understanding the sources and outcomes of brand equity provides managers with information how and where brands add value. While the brand equity associated with tangible goods has received a great deal of attention in the literature, a basic understanding of the nature of brand equity for services has yet to emerge. Most of what is known about brand equity for services is based on theoretical or anecdotal evidence. In addition, the presumed differences in brand equity associated with search-dominant, experience‐dominant, and credence‐dominant services has yet to be empirically examined. This study adopted the Theory of Customer-Based Brand Equity (CBBE) as an underpinning theory for its assumptions and to develop its model. The objectives of this study is to empirically test whether brand equity is influenced by digital marketing, customer relationship management (CRM) and service quality. A quantitative methodology was adopted. The data were based on online survey conducted among Jawwar Telecommunication company subcribers in the Gaza city, Palestine resulting in 150 respondents. Data were analyzed using correlation and multiple regression analysis in SPSS version 22. The results revealed that all the hypotheses were supported, indicating that digital marketing, CRM and service quality significantly influence brand equity. The results suggest that focusing on the constructs that create brand equity is more relevant to managers than trying to measure it as an aggregated financial performance outcome. This study offers theoretical and practical contributions for academics and professionals. The limitations of the study have been addressed and some valuable suggestions for future research work are offered

Multiple dimensions of health locus of control in a representative population sample: ordinal factor analysis and cross-validation of an existing three and a new four factor model

<p>Abstract</p> <p>Background</p> <p>Based on the general approach of locus of control, health locus of control (HLOC) concerns control-beliefs due to illness, sickness and health. HLOC research results provide an improved understanding of health related behaviour and patients' compliance in medical care. HLOC research distinguishes between beliefs due to Internality, Externality powerful Others (POs) and Externality Chance. However, evidences for differentiating the POs dimension were found. Previous factor analyses used selected and predominantly clinical samples, while non-clinical studies are rare. The present study is the first analysis of the HLOC structure based on a large representative general population sample providing important information for non-clinical research and public health care.</p> <p>Methods</p> <p>The standardised German questionnaire which assesses HLOC was used in a representative adult general population sample for a region in Northern Germany (N = 4,075). Data analyses used ordinal factor analyses in LISREL and Mplus. Alternative theory-driven models with one to four latent variables were compared using confirmatory factor analysis. Fit indices, chi-square difference tests, residuals and factor loadings were considered for model comparison. Exploratory factor analysis was used for further model development. Results were cross-validated splitting the total sample randomly and using the cross-validation index.</p> <p>Results</p> <p>A model with four latent variables (Internality, Formal Help, Informal Help and Chance) best represented the HLOC construct (three-dimensional model: normed chi-square = 9.55; RMSEA = 0.066; CFI = 0.931; SRMR = 0.075; four-dimensional model: normed chi-square = 8.65; RMSEA = 0.062; CFI = 0.940; SRMR = 0.071; chi-square difference test: p < 0.001). After excluding one item, the superiority of the four- over the three-dimensional HLOC construct became very obvious (three-dimensional model: normed chi-square = 7.74; RMSEA = 0.059; CFI = 0.950; SRMR = 0.079; four-dimensional model: normed chi-square = 5.75; RMSEA = 0.049; CFI = 0.965; SRMR = 0.065; chi-square difference test: p < 0.001). Results were confirmed by cross-validation. Results based on our large community sample indicated that western general populations separate health-related control-beliefs concerning formal and informal assistance.</p> <p>Conclusions</p> <p>Future non-clinical HLOC studies in western cultures should consider four dimensions of HLOC: Internality, Formal Help, Informal Help and Chance. However, the standardised German instrument needs modification. Therefore, confirmation of our results may be useful. Future research should compare HLOC structure between clinical and non-clinical samples as well as cross-culturally.</p

Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease

Background: Experimental and clinical data suggest that reducing inflammation without affecting lipid levels may reduce the risk of cardiovascular disease. Yet, the inflammatory hypothesis of atherothrombosis has remained unproved. Methods: We conducted a randomized, double-blind trial of canakinumab, a therapeutic monoclonal antibody targeting interleukin-1β, involving 10,061 patients with previous myocardial infarction and a high-sensitivity C-reactive protein level of 2 mg or more per liter. The trial compared three doses of canakinumab (50 mg, 150 mg, and 300 mg, administered subcutaneously every 3 months) with placebo. The primary efficacy end point was nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. RESULTS: At 48 months, the median reduction from baseline in the high-sensitivity C-reactive protein level was 26 percentage points greater in the group that received the 50-mg dose of canakinumab, 37 percentage points greater in the 150-mg group, and 41 percentage points greater in the 300-mg group than in the placebo group. Canakinumab did not reduce lipid levels from baseline. At a median follow-up of 3.7 years, the incidence rate for the primary end point was 4.50 events per 100 person-years in the placebo group, 4.11 events per 100 person-years in the 50-mg group, 3.86 events per 100 person-years in the 150-mg group, and 3.90 events per 100 person-years in the 300-mg group. The hazard ratios as compared with placebo were as follows: in the 50-mg group, 0.93 (95% confidence interval [CI], 0.80 to 1.07; P = 0.30); in the 150-mg group, 0.85 (95% CI, 0.74 to 0.98; P = 0.021); and in the 300-mg group, 0.86 (95% CI, 0.75 to 0.99; P = 0.031). The 150-mg dose, but not the other doses, met the prespecified multiplicity-adjusted threshold for statistical significance for the primary end point and the secondary end point that additionally included hospitalization for unstable angina that led to urgent revascularization (hazard ratio vs. placebo, 0.83; 95% CI, 0.73 to 0.95; P = 0.005). Canakinumab was associated with a higher incidence of fatal infection than was placebo. There was no significant difference in all-cause mortality (hazard ratio for all canakinumab doses vs. placebo, 0.94; 95% CI, 0.83 to 1.06; P = 0.31). Conclusions: Antiinflammatory therapy targeting the interleukin-1β innate immunity pathway with canakinumab at a dose of 150 mg every 3 months led to a significantly lower rate of recurrent cardiovascular events than placebo, independent of lipid-level lowering. (Funded by Novartis; CANTOS ClinicalTrials.gov number, NCT01327846.

Prediction of groundwater quality index in the Gaza coastal aquifer using supervised machine learning techniques

This paper investigates the performance of five supervised machine learning algorithms, including support vector machine (SVM), logistic regression (LogR), decision tree (DT), multiple perceptron neural network (MLP-NN), and K-nearest neighbours (KNN) for predicting the water quality index (WQI) and water quality class (WQC) in the coastal aquifer of the Gaza Strip. A total of 2,448 samples of groundwater were collected from the coastal aquifer of the Gaza Strip, and various physical and chemical parameters were measured to calculate the WQI based on weight. The prediction accuracy was evaluated using five error measures. The results showed that MLP-NN outperformed other models in terms of accuracy with an R value of 0.9945–0.9948, compared with 0.9897–0.9880 for SVM, 0.9784–0.9800 for LogR, 0.9464–0.9247 for KNN, and 0.9301–0.9064 for DT. SVM classification showed that 78.32% of the study area fell under poor to unsuitable water categories, while the north part of the region had good to excellent water quality. Total dissolved solids (TDS) was the most important parameter in WQI predictions while and were the least important. MLP-NN and SVM were the most accurate models for the WQI prediction and classification in the Gaza coastal aquifer. HIGHLIGHTS Machine learning (ML) algorithms are used for predicting water quality index.; Prediction performance of LogR, DT, KNN, SVM, and MLP-NN are compared.; MLP-NN and SVM-based prediction and quality classification models performed better than other ML-developed models.; Gaza coastal aquifer is experiencing a severe deterioration in water quality, as it is currently unsafe for drinking purposes without adequate treatment.